Check results for 'knockoff'

using R Under development (unstable) (2026-02-10 r89394)
using platform: aarch64-apple-darwin23
R was compiled by Apple clang version 17.0.0 (clang-1700.3.19.1) GNU Fortran (GCC) 14.2.0
running under: macOS Sequoia 15.7.1
using session charset: UTF-8 * current time: 2026-02-12 02:20:39 UTC
checking for file ‘knockoff/DESCRIPTION’ ... OK
checking extension type ... Package
this is package ‘knockoff’ version ‘0.3.6’
checking package namespace information ... OK
checking package dependencies ... OK
checking if this is a source package ... OK
checking if there is a namespace ... OK
checking for executable files ... OK
checking for hidden files and directories ... OK
checking for portable file names ... OK
checking for sufficient/correct file permissions ... OK
checking whether package ‘knockoff’ can be installed ... [1s/1s] OK See the install log for details.
checking installed package size ... OK
checking package directory ... OK
checking ‘build’ directory ... OK
checking DESCRIPTION meta-information ... OK
checking top-level files ... OK
checking for left-over files ... OK
checking index information ... OK
checking package subdirectories ... OK
checking code files for non-ASCII characters ... OK
checking R files for syntax errors ... OK
checking whether the package can be loaded ... [0s/0s] OK
checking whether the package can be loaded with stated dependencies ... [0s/0s] OK
checking whether the package can be unloaded cleanly ... [0s/0s] OK
checking whether the namespace can be loaded with stated dependencies ... [0s/0s] OK
checking whether the namespace can be unloaded cleanly ... [0s/0s] OK
checking loading without being on the library search path ... [0s/0s] OK
checking dependencies in R code ... OK
checking S3 generic/method consistency ... OK
checking replacement functions ... OK
checking foreign function calls ... OK
checking R code for possible problems ... [1s/1s] OK
checking Rd files ... [0s/0s] NOTE checkRd: (-1) knockoff.Rd:22-24: Lost braces in \itemize; meant \describe ? checkRd: (-1) knockoff.Rd:25-27: Lost braces in \itemize; meant \describe ?
checking Rd metadata ... OK
checking Rd cross-references ... OK
checking for missing documentation entries ... OK
checking for code/documentation mismatches ... OK
checking Rd \usage sections ... OK
checking Rd contents ... OK
checking for unstated dependencies in examples ... OK
checking installed files from ‘inst/doc’ ... OK
checking files in ‘vignettes’ ... OK
checking examples ... [10s/9s] ERROR Running examples in ‘knockoff-Ex.R’ failed The error most likely occurred in: > ### Name: stat.stability_selection > ### Title: Importance statistics based on stability selection > ### Aliases: stat.stability_selection > > ### ** Examples > > set.seed(2022) > p=50; n=50; k=15 > mu = rep(0,p); Sigma = diag(p) > X = matrix(rnorm(n*p),n) > nonzero = sample(p, k) > beta = 3.5 * (1:p %in% nonzero) > y = X %*% beta + rnorm(n) > knockoffs = function(X) create.gaussian(X, mu, Sigma) > > # Basic usage with default arguments > result = knockoff.filter(X, y, knockoffs=knockoffs, + statistic=stat.stability_selection) *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 0.109427447325672, 0.369730587231628, 2.14813206801029, 0.999862152281694, -0.131035380402158, -2.50262152979895, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.148983535412102, -0.323378716168106, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.208164055388184, 0.85842250305929, 0.484569434497438, -1.0031038879234, 0.0177286742852289, 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0.244224270569954, 0.080878138458566, -0.997344910274393, 2.03911167526373, 0.242880301804018, 0.305998825577084, -0.0589492478228027, 0.854641160954447, 0.71342138419062, -0.58515402752619, 0.0892870682912178, -1.82900895311526, -0.236543470997769, -0.586448471595223, 0.789249601470516, -1.2959878461407, -0.576746919364187, -1.05321209688739, 0.494235979318938, -0.362482436128475, 1.94495988032926, 2.38639103748848, -1.0510204933252, -0.957493595106902, 0.13774154709695, 0.0121886461030446, -0.497765393683735, 0.242444567393309, -0.624590280144141, 1.15197321171478, 1.51742041294056, 0.23483287240135, 0.0965876703558167, 0.202301735851574, 0.89927644551979, 0.0194456197928905, -1.1648474191218, 0.884217413171091, -0.653863831125984, -1.81891445464763, -0.800196402559196, 0.61532688679562, -1.16324482296585, -0.969332499364285, -1.21674219540306, 0.366903821235228, -0.0775043851498784, 1.97692571277644, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.528436375524047, -1.54911198056862, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 2.35301647902166, -1.01861999709059, -1.07460677191658, -0.0403419720204135, -0.738353042299165, 0.517933563530361, 1.51706949884474, 1.02470255994038, 1.16292033782413, -0.895997832057571, -0.676290435218596, -0.0938003176542031, 1.79001798478017, 0.890219621027536, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.282469870623761, 0.313805041746214, -1.21710943324447, -1.27198132109611, -0.422671780695275, 0.437928531993262, 0.881573985203294, 0.657660667837481, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, -16.960851676496, -10.7957550265179, -18.3826562129212, 24.1454032132213, -5.58862024667344, -13.969103962324, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -2.28063445072232, 0.202967839439172, 5.72149549373033, -19.053273728511, -18.6044712732927, -12.5145663041873, 3.14390224379052, 11.3147537290436, -4.98046883853199, -10.8085590850615, 3.83881941831794, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[i]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[i]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[i]]) 20: FUN(X[[i]], ...) 21: lapply(jobid, function(i) mcparallel(list(FUN(X[[i]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[i]])) 22: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 23: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 24: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 25: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 26: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 27: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 28: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 29: statistic(X, Xk, y) 30: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, 0.369730587231628, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, -0.131035380402158, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.323378716168106, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.645249759649571, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, -1.0031038879234, 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-0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, -1.54911198056862, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.0403419720204135, -1.34850115368141, 1.02470255994038, 0.837983217684359, -0.895997832057571, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, 1.79001798478017, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, 1.52966348111674, -0.962403409950212, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.881573985203294, 0.163013137616148), y = c(-19.298534993808, 9.51570119036855, -10.7957550265179, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, -5.58862024667344, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, 0.202967839439172, 5.72149549373033, -19.053273728511, -18.6044712732927, -9.24656062205327, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, -4.98046883853199, -10.8085590850615, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[i]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[i]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[i]]) 20: FUN(X[[i]], ...) 21: lapply(jobid, function(i) mcparallel(list(FUN(X[[i]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[i]])) 22: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 23: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 24: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 25: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 26: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 27: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 28: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 29: statistic(X, Xk, y) 30: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.392596468870937, 0.109427447325672, 2.14813206801029, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.999862152281694, -0.131035380402158, 1.40505139126812, 0.925147932061565, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.323378716168106, -0.068633696125817, -0.645249759649571, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, 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-0.932450573591533, 1.97692571277644, 0.57600116391318, -0.292483387028429, -0.420864025280671, -1.54911198056862, -0.0630130729046384, 0.474562817860045, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 1.51706949884474, 1.02470255994038, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.221248384886406, 0.020015945396685, -1.6827376240604, -0.0938003176542031, 1.79001798478017, 1.699931496446, -1.10095930501703, 0.349254965543424, -1.16340183424519, -1.10086936580084, 1.52966348111674, 0.313805041746214, 0.517721735919348, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.881573985203294), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, 10.0060431194859, -16.960851676496, -18.3826562129212, -20.2249403972771, -0.692632428106748, -15.249369531479, 24.1454032132213, -5.58862024667344, 5.90172525990606, 20.7357655158531, -3.1818781455726, -8.68498564147923, -11.8250703353458, 0.202967839439172, -18.6044712732927, -9.24656062205327, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, -4.98046883853199, -10.8085590850615), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, 0.392596468870937, 2.14813206801029, -1.38231290160394, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, 1.40505139126812, 1.32645478405243, -0.384828874562752, -0.785655199467656, 1.48556666597297, -0.323378716168106, -0.408562695807195, 0.0527774938826198, -0.068633696125817, -0.607657973242432, 0.484569434497438, -1.0031038879234, -0.407037307483899, -0.54661479412367, 1.2573668672221, 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1.56651989517544, -0.621154609290433, -2.77960446940312, 1.12728548651946, 0.370771702704945, 0.227426364534435, 2.03911167526373, 0.434890347048558, 0.305998825577084, -0.0589492478228027, -1.47450409965539, -0.58515402752619, 0.0892870682912178, 0.95930315223558, -0.236543470997769, 0.37721552072974, -0.38531292702555, -1.2959878461407, -0.63451571385257, -1.53684492270274, 0.494235979318938, 0.372595121850278, 0.730514711728527, -0.412031369092688, -0.362482436128475, 1.94495988032926, 0.63408419444579, 0.327753897747732, 0.13774154709695, -0.877320635002788, -0.962439645841172, -0.624590280144141, -0.105659164501549, 1.51742041294056, 0.23483287240135, -0.193603159913885, 0.89927644551979, 0.0194456197928905, 2.07860357115171, 0.884217413171091, -0.501233595341427, -0.543216258798932, -0.800196402559196, -0.295110315660504, 0.473735318832432, -0.969332499364285, 0.766358771682672, -0.386423225090122, -0.501966720876529, -1.21674219540306, 0.366903821235228, -0.932450573591533, 1.63322451598054, -0.225044963997591, -0.292483387028429, -0.420864025280671, -1.54911198056862, -0.025696521526341, 1.65979764946917, -0.0630130729046384, 1.29456537655635, -1.01861999709059, -1.07460677191658, 0.621583927869213, -0.738353042299165, -1.34850115368141, -0.0465678812137429, 1.02470255994038, 0.837983217684359, 0.635417948752758, -0.676290435218596, 0.221248384886406, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 1.699931496446, -0.226136216083787, 0.930750776451752, -1.16340183424519, -1.10086936580084, 1.52966348111674, 0.823778920330776, 0.282469870623761, 0.313805041746214, 0.734558507053567, -0.422671780695275, 0.437928531993262, -1.13080371724134, 0.657660667837481, 0.163013137616148, 1.9673566235267), y = c(-19.298534993808, 9.51570119036855, 10.0060431194859, -18.3826562129212, -20.2249403972771, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, 5.90172525990606, -2.89287244232098, -0.377248798794355, -8.68498564147923, -11.8250703353458, 0.202967839439172, -13.6626854617305, -19.053273728511, -18.6044712732927, -8.70558699125535, 11.3147537290436, -4.98046883853199, 11.4212040365199, 3.83881941831794, -26.8153800228268, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.329263458810201, 0.109427447325672, 0.422120338844796, 1.91356398362494, 0.0132449593663705, 0.61639251913841, -0.131035380402158, 1.40505139126812, -0.590944016006711, -0.384828874562752, -0.785655199467656, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.484569434497438, -0.454665712829646, 0.0177286742852289, 1.2573668672221, 0.0413028633830614, 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-0.225044963997591, -0.292483387028429, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, -1.01861999709059, 0.136417692905443, -0.0403419720204135, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, -1.61469611115815, 1.16292033782413, -1.42835248557666, 0.020015945396685, -1.6827376240604, -1.66202468624362, 1.79001798478017, 1.699931496446, 0.163423183653266, 0.930750776451752, -1.16340183424519, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -0.422671780695275, -0.325055707435347, 0.881573985203294, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -9.01558859805802, -16.960851676496, 6.43015965629958, -0.692632428106748, -15.249369531479, 8.73172424602405, -5.58862024667344, 5.90172525990606, -5.14378880434676, -0.377248798794355, -8.68498564147923, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 11.3147537290436, 6.65189162279916, -10.8085590850615, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, 0.109427447325672, 0.369730587231628, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -0.131035380402158, -0.590944016006711, -1.62180498737223, -0.785655199467656, 1.48556666597297, -0.148983535412102, 0.193963098805273, -0.068633696125817, -0.645249759649571, 0.85842250305929, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 0.0413028633830614, 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-0.420864025280671, 0.528436375524047, 2.62159903950059, -0.0630130729046384, 0.474562817860045, 2.35301647902166, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 0.837983217684359, 1.16292033782413, -0.895997832057571, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.163423183653266, 0.459332344538367, -1.16340183424519, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.313805041746214, 0.517721735919348, -1.27198132109611, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, 9.51570119036855, -16.960851676496, -10.7957550265179, -15.249369531479, 8.73172424602405, 24.1454032132213, -5.58862024667344, -5.14378880434676, -14.5661269431648, -8.68498564147923, -11.8250703353458, -2.28063445072232, 5.72149549373033, -18.6044712732927, -9.24656062205327, 3.14390224379052, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, -0.0124953265399268, 0.0132449593663705, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, 1.40505139126812, -0.590944016006711, -0.384828874562752, 0.0269793216173192, -0.148983535412102, 0.193963098805273, -0.408562695807195, 0.85842250305929, -0.607657973242432, -0.407037307483899, 1.2573668672221, 0.0413028633830614, 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-0.501966720876529, -1.21674219540306, 0.366903821235228, -0.932450573591533, 0.630127566957426, -0.225044963997591, 0.515988379149648, 0.528436375524047, 2.62159903950059, -0.025696521526341, 2.35301647902166, 1.29456537655635, 0.621583927869213, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, 0.622556854177482, -1.6827376240604, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 1.699931496446, 0.163423183653266, 0.930750776451752, -0.706973243484188, -0.932948424860186, -0.962403409950212, 0.823778920330776, -1.27198132109611, 0.734558507053567, -1.13080371724134, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -2.03116927639453, -15.249369531479, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, 5.90172525990606, -5.14378880434676, -0.377248798794355, -14.0735629998059, -2.28063445072232, 5.72149549373033, -13.6626854617305, 3.14390224379052, -8.70558699125535, 11.4212040365199, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, -0.329263458810201, 2.14813206801029, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.999862152281694, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, 0.193963098805273, -0.408562695807195, 0.0527774938826198, 0.85842250305929, -0.607657973242432, 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-1.37770197013537, -0.501966720876529, -1.21674219540306, 1.97692571277644, 1.63322451598054, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, 2.62159903950059, -0.025696521526341, 1.65979764946917, 2.35301647902166, 1.29456537655635, -1.07460677191658, -0.0403419720204135, 1.51706949884474, 0.837983217684359, -0.169105211356617, -1.61469611115815, -0.676290435218596, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, -0.0938003176542031, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -0.962403409950212, 0.823778920330776, 0.282469870623761, -1.27198132109611, 0.734558507053567, 0.437928531993262, 0.881573985203294), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, -9.01558859805802, -18.3826562129212, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, 24.1454032132213, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, 5.72149549373033, -13.6626854617305, -19.053273728511, 3.14390224379052, -8.70558699125535, -4.98046883853199, -10.8085590850615), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.0132449593663705, 0.61639251913841, 0.999862152281694, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.148983535412102, -0.323378716168106, 0.0527774938826198, -0.068633696125817, -0.645249759649571, 0.85842250305929, -1.0031038879234, -0.407037307483899, 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0.637172774772893, 1.01990058898456, -2.77960446940312, 0.668556939511994, 1.12728548651946, 0.244224270569954, 0.080878138458566, 0.370771702704945, -0.997344910274393, 2.03911167526373, 0.305998825577084, -0.0589492478228027, -0.75167137747026, 0.71342138419062, 0.0892870682912178, 0.95930315223558, -0.38531292702555, -0.586448471595223, -0.63451571385257, -0.0199574527351158, -1.05321209688739, 2.18920985430838, -0.863981059198544, 0.372595121850278, 0.205398669876472, -0.412031369092688, -0.362482436128475, 0.327753897747732, -0.957493595106902, 0.13774154709695, 0.0121886461030446, -0.497765393683735, -0.877320635002788, 0.242444567393309, -0.624590280144141, 1.51742041294056, 0.23483287240135, 0.819703667929469, 0.202301735851574, 0.0194456197928905, 2.07860357115171, -0.543216258798932, -0.653863831125984, -0.295110315660504, -0.00094759257249616, -1.16324482296585, -0.427437192765897, 0.230163955877312, 0.766358771682672, -1.37770197013537, -0.501966720876529, -1.21674219540306, 1.63322451598054, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, 0.528436375524047, -1.54911198056862, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 2.35301647902166, -1.07460677191658, 0.621583927869213, -0.0465678812137429, 0.517933563530361, 0.837983217684359, -0.169105211356617, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.221248384886406, -1.6827376240604, -1.66202468624362, -0.0938003176542031, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -0.932948424860186, 1.52966348111674, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.27198132109611, 0.437928531993262, -1.13080371724134, 1.9673566235267, -0.0921443668266886), y = c(9.51570119036855, -1.84575738837975, -10.7957550265179, -2.03116927639453, 6.43015965629958, -20.2249403972771, -15.249369531479, 8.73172424602405, 24.1454032132213, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, -2.28063445072232, 0.202967839439172, -19.053273728511, -18.6044712732927, -9.24656062205327, 3.14390224379052, -4.98046883853199, 11.4212040365199, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.392596468870937, 0.369730587231628, -1.38231290160394, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -2.50262152979895, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, -0.862889448370133, -0.785655199467656, 0.193963098805273, 0.0527774938826198, -0.645249759649571, 0.484569434497438, -1.0031038879234, -0.407037307483899, -0.54661479412367, 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-0.225044963997591, 0.958282033567734, 0.57600116391318, -0.292483387028429, 2.62159903950059, 1.65979764946917, 0.474562817860045, -1.01861999709059, -1.07460677191658, 0.621583927869213, -0.738353042299165, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 1.02470255994038, -1.61469611115815, 0.635417948752758, -0.895997832057571, 0.221248384886406, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 0.890219621027536, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, 0.349254965543424, -1.16340183424519, -0.962403409950212, 0.282469870623761, 0.517721735919348, -0.422671780695275, 0.437928531993262, -1.13080371724134, 0.657660667837481, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, 10.0060431194859, -10.7957550265179, -20.2249403972771, -15.249369531479, 11.1105459007604, 24.1454032132213, -13.969103962324, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -3.1818781455726, -8.68498564147923, 5.72149549373033, -19.053273728511, -9.24656062205327, 11.3147537290436, -4.98046883853199, 11.4212040365199, 3.83881941831794, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, 0.392596468870937, 2.14813206801029, 0.422120338844796, 1.91356398362494, -1.19551640355375, 0.61639251913841, -2.50262152979895, 1.32645478405243, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.645249759649571, 0.484569434497438, -0.454665712829646, -0.407037307483899, 1.2573668672221, 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0.515988379149648, -0.292483387028429, -1.54911198056862, 2.62159903950059, -0.025696521526341, -0.342343002481559, 0.474562817860045, -1.01861999709059, 0.136417692905443, 0.621583927869213, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.51706949884474, -0.169105211356617, 0.635417948752758, -0.676290435218596, -1.42835248557666, 0.020015945396685, 0.146900433152128, -1.66202468624362, 0.890219621027536, -0.226136216083787, 0.163423183653266, 0.459332344538367, -0.706973243484188, -1.16340183424519, 1.52966348111674, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.517721735919348, -0.422671780695275, -0.325055707435347, -1.13080371724134, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, -1.84575738837975, 10.0060431194859, -18.3826562129212, 6.43015965629958, -0.692632428106748, 11.1105459007604, 8.73172424602405, -13.969103962324, -2.89287244232098, -5.14378880434676, -14.5661269431648, -14.0735629998059, -8.68498564147923, 0.202967839439172, 5.72149549373033, -13.6626854617305, -8.28073346614134, -9.24656062205327, 11.3147537290436, 6.65189162279916, 11.4212040365199, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.369730587231628, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.19551640355375, 0.999862152281694, -2.50262152979895, -0.590944016006711, -0.384828874562752, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, -1.0031038879234, 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-0.0775043851498784, 0.630127566957426, -0.225044963997591, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, -1.07460677191658, -1.34850115368141, -0.0465678812137429, 1.02470255994038, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.895997832057571, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.146900433152128, -0.0938003176542031, 0.890219621027536, 0.163423183653266, 0.930750776451752, -0.962403409950212, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.163013137616148, 1.9673566235267), y = c(-19.298534993808, -1.84575738837975, -9.01558859805802, 10.0060431194859, -10.7957550265179, -18.3826562129212, -2.03116927639453, 6.43015965629958, 11.1105459007604, 24.1454032132213, -13.969103962324, -5.14378880434676, -0.377248798794355, 5.72149549373033, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, -4.98046883853199, -26.8153800228268, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.369730587231628, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.61639251913841, -2.50262152979895, 1.32645478405243, -0.590944016006711, -0.384828874562752, 0.0269793216173192, -0.862889448370133, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.607657973242432, 0.484569434497438, -0.407037307483899, 1.2573668672221, 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-20.2249403972771, 8.73172424602405, -13.969103962324, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.0735629998059, -3.1818781455726, -2.28063445072232, 0.202967839439172, 5.72149549373033, -8.70558699125535, 11.3147537290436, 11.4212040365199, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.862889448370133, -0.785655199467656, 1.48556666597297, 0.193963098805273, -0.408562695807195, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.484569434497438, -1.0031038879234, 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-0.420864025280671, 2.62159903950059, -0.025696521526341, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, -1.07460677191658, 0.621583927869213, -1.0311916789257, 1.02470255994038, 1.16292033782413, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.221248384886406, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.962403409950212, 0.823778920330776, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, 0.437928531993262, -1.13080371724134, -0.188425688499664), y = c(-19.298534993808, -16.960851676496, -10.7957550265179, -2.03116927639453, 6.43015965629958, -20.2249403972771, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -3.1818781455726, -8.68498564147923, -11.8250703353458, 5.72149549373033, -13.6626854617305, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, -4.98046883853199, 11.4212040365199, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, 0.109427447325672, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 1.91356398362494, 0.61639251913841, -0.131035380402158, -2.50262152979895, 1.32645478405243, -0.590944016006711, -0.384828874562752, 0.0269793216173192, 1.48556666597297, -0.323378716168106, 0.193963098805273, -0.408562695807195, -0.068633696125817, 0.484569434497438, -0.454665712829646, -1.0031038879234, 0.0177286742852289, 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0.630127566957426, -0.225044963997591, 0.515988379149648, -0.420864025280671, -1.54911198056862, 2.62159903950059, -0.025696521526341, -0.0630130729046384, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -1.0311916789257, 1.51706949884474, -0.169105211356617, 1.16292033782413, -0.676290435218596, 0.622556854177482, 0.221248384886406, 0.020015945396685, -1.66202468624362, 1.79001798478017, 0.890219621027536, -0.226136216083787, 0.163423183653266, 0.930750776451752, -0.706973243484188, -1.10086936580084, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.313805041746214, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, -0.188425688499664), y = c(1.36455146549798, -1.84575738837975, -16.960851676496, -18.3826562129212, -2.03116927639453, -20.2249403972771, -0.692632428106748, 8.73172424602405, -5.58862024667344, -13.969103962324, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.0735629998059, -11.8250703353458, 0.202967839439172, 5.72149549373033, -13.6626854617305, -18.6044712732927, 11.3147537290436, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(2.14813206801029, -0.0124953265399268, -1.38231290160394, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, -0.590944016006711, -1.62180498737223, 1.48556666597297, -0.408562695807195, 0.0527774938826198, -0.645249759649571, 0.85842250305929, -0.607657973242432, 0.484569434497438, 0.0177286742852289, -0.54661479412367, 1.2573668672221, 1.06772950730813, 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1.65979764946917, 0.474562817860045, 2.35301647902166, 1.29456537655635, -1.01861999709059, -0.0403419720204135, -0.738353042299165, -1.34850115368141, -0.0465678812137429, 0.517933563530361, -0.676290435218596, 0.622556854177482, 0.221248384886406, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, 0.163423183653266, 0.459332344538367, -1.10086936580084, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.27198132109611, 0.734558507053567, -0.422671780695275, 0.881573985203294, 0.657660667837481, 0.163013137616148, 1.9673566235267, -0.0921443668266886), y = c(-18.3826562129212, -2.03116927639453, -20.2249403972771, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, -5.14378880434676, -14.5661269431648, -11.8250703353458, -13.6626854617305, -19.053273728511, -9.24656062205327, 3.14390224379052, -8.70558699125535, 11.3147537290436, -10.8085590850615, 3.83881941831794, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, 0.392596468870937, 0.109427447325672, -0.0124953265399268, 0.0132449593663705, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 0.925147932061565, -0.590944016006711, -1.62180498737223, -0.862889448370133, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.454665712829646, 0.0177286742852289, 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Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.369730587231628, -0.0124953265399268, -1.38231290160394, 0.0132449593663705, -0.131035380402158, 1.40505139126812, 1.32645478405243, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.323378716168106, 0.193963098805273, 0.0527774938826198, 0.85842250305929, -0.607657973242432, 0.484569434497438, -1.0031038879234, 0.0177286742852289, 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0.630127566957426, 0.958282033567734, 0.515988379149648, -0.292483387028429, -1.54911198056862, 2.62159903950059, 1.65979764946917, 2.35301647902166, 1.29456537655635, -1.01861999709059, -1.07460677191658, -0.0403419720204135, -0.738353042299165, 0.517933563530361, 1.51706949884474, 0.837983217684359, -0.169105211356617, -1.61469611115815, -0.895997832057571, 0.622556854177482, 0.221248384886406, -1.6827376240604, 1.79001798478017, 1.699931496446, -0.226136216083787, 0.163423183653266, 0.459332344538367, -0.706973243484188, -1.16340183424519, 1.52966348111674, -0.962403409950212, 0.282469870623761, -1.27198132109611, 0.734558507053567, -0.422671780695275, 0.437928531993262, 0.881573985203294, 0.657660667837481, -0.0921443668266886), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, -9.01558859805802, -10.7957550265179, -2.03116927639453, -20.2249403972771, -15.249369531479, -5.58862024667344, 5.90172525990606, -2.89287244232098, -5.14378880434676, -14.5661269431648, -14.0735629998059, -8.68498564147923, 0.202967839439172, 5.72149549373033, -19.053273728511, 3.14390224379052, -8.70558699125535, 11.3147537290436, -4.98046883853199, -10.8085590850615, 3.83881941831794, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... 1.01521043541395, -0.865178488413164, -0.0357639324341113, 0.0572797071703491, 0.708581091024872, -0.024611731169727, 1.8527894443958, -0.951364420565612, -0.673531281572417, -0.237773756684695, -1.495021967074, -0.809076238699177, -0.415855472951534, 0.264255063956941, 1.76493249804244, 0.152178888564656, -1.97575164797568, -2.2254584146016, 0.281378255471679, 0.0713956723357081, 1.14326361784573, 0.922535644707978, -1.14167405587017, 0.901318163959399, 0.0194736379577409, -0.0358704879258596, 1.22272184584497, -1.59400660794028, 0.183741635824891, 0.912395313132954, 1.3358371033184, 1.14407579722398, -0.0468916930348947, 1.38583309118747, 0.206691722180092, -1.47024856180504, -0.120851564841612, -0.240920939989278, -0.75837931471792, 0.563930420057046, -1.49463480598097, -0.22560913890185, -0.268937880586606, -0.959099442493013, 1.85766084102572, -0.198061105392237, -0.616527148507723, 0.524611479681586, 0.531253268333125, -0.17583970604674, 1.51562894733282, -0.577359623381366, 1.41066674219199, 0.762982383783859, 0.0555034387475914, -0.727533836265965, 0.197802105413224, 0.0177501607943565, 0.606217947102932, 0.315929169732552, -1.28844633599057, 0.254066811688765, -0.939474384478927, 0.815067558333427, -1.09146399509156, -0.123238701947573, -0.523187346000039, -0.275677439881063, -0.127613734006068, 0.872839617971288, 0.532318929305093, 1.50187599038853, 0.267427238846236, 0.718405568315712, -0.275628883838543, -1.05544462979803, -2.07587972541353, 0.0292479875017272, 1.3809733030626, 0.817823310444552, -2.10593614405961, 2.24514333682701, -1.29005221346599, -0.214966512737715, -1.75023379143664, 0.606410854205668, -1.57166133013159, 1.05269047376973, -0.219756430383347, 0.808662365496093, 1.58792291855977, 0.0347916024356802, -0.902366350538838, 1.48155901119197, 0.0910642319352673, -1.07439411086328, 0.349546466873945, -1.19023879547019, -0.514335223688468, -0.563336645891943, 0.96763738194423, 0.185879777810231, -0.279220599982289, -0.407688580470622, 3.16582064901353, -2.09681377496626, -0.626635108922514, -1.04124147200715, 1.74383307496533, -0.696212294166089, 1.5628740637397, 0.497344647455866, -0.387108319891919, -0.467101715753327, -0.161723494209466, -0.535233031543272, 1.17082082697727, 2.72606166399875, 0.220876304126252, 0.614336766817963, -0.538516080243021, -1.51304105458027, -0.19600040151103, 0.534887196110516, -0.0475957444296384, -0.841709140334995, 1.1335971500082, -0.613004156055212, -0.77803642591896, -1.03515618877312, -1.38383564028029, -0.994839282959007, -0.734367467388832, -2.39611573523313, -0.00160238480692291, 1.2273323026423, 0.57441338411821, -0.904553080972846, 1.41661892007704, -0.84996115811259, 0.759190991129679, -0.158334965037789, 0.297067170289261, -0.197040205237909, -0.19104720116788, 0.141688335858352, -1.29332273371429, 0.206557875757181, -0.642276295545785, 0.980096195760567, -1.03332709128171, 0.203428307223822, -0.327106902569587, -2.24418491845213, 0.631562758681314, 0.502473530895323, 1.03296579239455, -1.24899599261967, -0.413874315191404, 0.53911579200624, 0.298452681393247, 0.54670990814314, -0.0893660734279976, -0.73894916161346, 0.707321933914038, -1.21434240317314, 0.708627319691112, 0.897730984478384, 0.724770399159687, 0.727132278855196, -0.932054436486113, 1.11197873860926, -0.994870760003667, 0.883079056998262, 0.528954152887643, 0.125522539479063, -1.28967616955455, -0.00230937792410934, -0.734149790285882, 0.0104406434612845, 1.26717984710449, -0.639906246998868, -0.282213611033196, -0.159575096820894, -0.163418173692001, -0.149424680461602, 1.77087875584177, -0.873389379216868, 1.3273191799728, 0.786467943331026, 1.92028004683254, 1.80238874853738, 0.145597247164943, -0.376570661590896, -0.0680540931495659, -1.31214116254547, 0.496840364289792, -1.19227085519796, 1.64098633352704, 0.477339758916043, 0.818214299223789, -0.360634255407263, -0.735729375049361, -1.67020421365599, 1.36235874794265, -1.12233412126385, -0.0617407446679905, 0.461652278410216, -0.785417667504339, -0.447900460397376, 1.97502222321536, 0.446278686016102, -1.89511102402658, 0.246010570856867, 0.969522342318959, 0.637172774772893, 1.01990058898456, 1.56651989517544, 0.919130142694553, -1.07767435276103, 0.668556939511994, 0.244224270569954, -0.140217795368861, 0.227426364534435, -0.997344910274393, 0.242880301804018, 0.305998825577084, -0.0589492478228027, -0.75167137747026, 0.239831556919846, -1.82900895311526, -0.236543470997769, -0.586448471595223, 0.789249601470516, -0.0199574527351158, -1.53684492270274, -0.576746919364187, 2.18920985430838, 0.205398669876472, 0.730514711728527, -0.412031369092688, -0.362482436128475, 1.94495988032926, 2.38639103748848, -1.0510204933252, -0.957493595106902, 0.0121886461030446, -0.164690775680996, -0.962439645841172, 0.242444567393309, 1.15197321171478, 1.51742041294056, 0.23483287240135, 0.819703667929469, -0.334080790368491, -1.1648474191218, 0.884217413171091, -0.653863831125984, -1.81891445464763, -0.00094759257249616, 0.473735318832432, 0.61532688679562, -0.427437192765897, -1.37770197013537, -0.386423225090122, -0.501966720876529, -1.21674219540306, 0.366903821235228, -0.0775043851498784, 1.97692571277644, 0.630127566957426, 0.958282033567734, 0.57600116391318, -0.420864025280671, 0.528436375524047, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.136417692905443, -0.0403419720204135, -0.738353042299165, 0.517933563530361, 1.51706949884474, -0.169105211356617, 0.635417948752758, 1.16292033782413, 0.622556854177482, -1.6827376240604, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, -1.10095930501703, 0.163423183653266, 0.459332344538367, 0.349254965543424, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.282469870623761, 0.313805041746214, 0.517721735919348, -0.325055707435347, 0.881573985203294, 0.657660667837481, -0.0921443668266886), y = c(1.36455146549798, -1.84575738837975, 10.0060431194859, -16.960851676496, -2.03116927639453, -15.249369531479, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 20.7357655158531, -5.14378880434676, -14.5661269431648, -3.1818781455726, -11.8250703353458, -2.28063445072232, 5.72149549373033, -19.053273728511, -18.6044712732927, -9.24656062205327, 6.65189162279916, -10.8085590850615, 3.83881941831794, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.329263458810201, 0.109427447325672, 2.14813206801029, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.61639251913841, -0.131035380402158, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, 1.48556666597297, 0.193963098805273, -0.408562695807195, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.454665712829646, -0.407037307483899, 1.2573668672221, 0.0413028633830614, 0.08045075237832, -0.440053388113733, -1.1548208890248, -0.0819837534591141, 0.694479394148268, 0.0739098297256866, -0.254224392161768, -0.0443690547903838, 0.488453033116865, 0.618427331722249, 2.26593042756662, -0.0700224712550635, 0.0377416114053704, -0.621445645042058, -0.489537613420034, -1.16463010363052, 0.635872847512857, -0.56311296508807, -0.877842477105222, -0.244290148297655, 0.923755601743204, -1.24375958759864, -1.69324414610846, -0.340953741960209, 0.0138971797505822, -0.906438189087774, 0.349974994424129, -0.126454735087022, -0.0597744693880172, -1.49758938854738, -0.0152104317386783, -1.62650457429489, 0.140118397436077, -0.847865246673081, -1.39761736908545, 0.488139998125735, -1.45627198439604, 0.758543987052176, 0.0731762040597337, -0.0606704539843979, 0.919223472197526, 1.11882736544319, 0.0543398067159208, 0.438798109409653, 0.311098674727316, 0.9112635830062, -0.259726012090368, 1.19976704221711, -0.589107131273012, -1.27197214664359, 1.29510905721273, 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0.45673400770591, 0.953182200821971, -0.491501476693847, -1.31276721054716, 1.13654962938874, 0.37395623620442, -0.110754369843127, 0.768794099503736, -0.208884948538895, 0.0591911647416756, 0.269577710946761, -0.985950958918657, 0.178788754753366, -0.711365210931746, 0.194969171509538, -0.0425743751783149, -0.220317837756871, -1.09539386852803, -0.465227618942353, -0.396495393410049, 1.16604817304367, -0.893707110261742, 0.156838513061428, Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) -1.78728790357985, 2.11255103297815, -1.3150520924311, -1.07052058133212, 0.693134006720214, 1.3066083006458, -0.1383589467507, -0.840229192719881, -1.18042202427071, -0.0391141986822905, 0.205485742324481, 1.26048829801933, { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx])))-1.74921017024213, -1.06233756470782, 2.07516167491766, -2.15016622674986, -0.883013082765672, -0.259739959273536, -1.58343409888339, 0.416362989119572, 1.30699937676454, 1.23328899726159, 0.652391669839124, -0.9333609533163, selected <- selected[-idx] } ret <- logical(ncol(x))1.04079487263054, -0.0641833716283137, 0.386147507384769, -0.263637608117051, 0.272026308098386, -0.608840447984745, -1.0583479607779, -0.00498993103129966, 1.79307913070107, -0.023739658095817, 0.0541589483564564, 0.422221994851042, -1.02326899404471, 1.27865218285524, -0.283021421623218, -0.321901010404132, -0.905921990539242, -0.818841253258252, -2.2250322137227, 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0.283830586376809, -0.513469657271988, -1.30520473859851, 0.804448979340638, -0.907447282896117, 0.276943939747574, 0.99130295869358, -0.863224346841388, -0.967653228076673, 0.861296540484272, 0.826683663785016, -0.316843554525352, -0.269262797673692, -0.0404808663652169, 1.20601349178556, -1.09005727955154, -1.98257610612365, 0.110082714250656, -0.616975806577053, 0.935787683755204, -0.899289160883825, 0.982543845031237, -0.457714843314151, 0.589369613424264, 1.93321192611118, 0.966918540202605, -0.57713744858811, 0.482862295525488, 0.75131765824094, 1.07360997540291, 0.141812199892603, 0.202540015271368, -1.44595974586047, -1.37143783311853, 1.07680558957467, 0.577455916089636, -1.56133249521763, -1.16301134274788, 1.41526962815455, -0.303950126991018, -1.10086936580084, -0.962403409950212, 0.823778920330776, 0.313805041746214, -1.21710943324447, -1.27198132109611, -0.325055707435347, -1.13080371724134, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(-19.298534993808, -9.01558859805802, -16.960851676496, -18.3826562129212, 6.43015965629958, -20.2249403972771, -0.692632428106748, 8.73172424602405, -5.58862024667344, 5.90172525990606, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -11.8250703353458, 5.72149549373033, -13.6626854617305, -18.6044712732927, -12.5145663041873, 3.14390224379052, 6.65189162279916, 11.4212040365199, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") }1.04524626209913, -1.87993291802256, 0.862578554908033, -2.05525598748053, else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... 0.609157711982307, -0.347927230426329, -0.15772584222394, -0.96556462500911, 0.395561934544916, 1.81804033730969, -0.754175863065912, 0.749087834969861, 1.19167398383836, -1.42703755371438, -0.519178237513233, -0.20224857564247, -0.938557190496447, 0.525969581506008, -0.884887965013945, -0.41721277733362, -0.0496841471782828, -2.03214701084842, 1.73896539476575, 1.02984139787404, -0.135318882381456, 0.68141413282729, -1.30196811589103, 0.125890962671401, -1.66659481119522, -2.6166055859618, -2.47899450860675, -1.55602765135106, 0.139554854380336, 0.0671522971708903, -0.870771446832189, 1.89767678997759, 0.541999727619369, 0.903038648787214, -1.2541586466523, -0.30344722424515, -2.53102171028094, -1.64778182699257, 1.90794064339403, 0.550517690615137, -1.25511704909096, 0.994337435390628, -0.2304556910292, -0.0480310751504079, 0.653628352752685, -0.830897285094434, 0.29080850509051, -0.150018565169046, 0.0791217903442866, 1.11781928965184, -0.656845460126177, 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0.528436375524047, -1.54911198056862, 2.62159903950059, -0.025696521526341, -0.342343002481559, 2.35301647902166, 1.29456537655635, -0.0403419720204135, 0.621583927869213, -1.34850115368141, -1.0311916789257, 1.02470255994038, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, 1.79001798478017, 0.890219621027536, -0.226136216083787, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, -1.71638753826073, -1.27198132109611, 0.734558507053567, 0.881573985203294, -1.13080371724134, 0.163013137616148, -0.188425688499664), y = c(-19.298534993808, 10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, -2.03116927639453, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, -5.58862024667344, -13.969103962324, -2.89287244232098, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -8.28073346614134, 3.14390224379052, -8.70558699125535, -10.8085590850615, 11.4212040365199, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 2.14813206801029, -0.0124953265399268, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.925147932061565, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.862889448370133, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.702119314562013, 0.0527774938826198, -0.645249759649571, -0.607657973242432, 0.484569434497438, -1.0031038879234, 0.0177286742852289, -0.407037307483899, 1.2573668672221, 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-0.420864025280671, 0.528436375524047, 2.62159903950059, -0.342343002481559, 1.65979764946917, 0.474562817860045, 1.29456537655635, -1.01861999709059, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.51706949884474, -0.676290435218596, 0.622556854177482, 0.020015945396685, -1.6827376240604, -1.66202468624362, -1.10095930501703, 0.163423183653266, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.10086936580084, -0.932948424860186, -0.962403409950212, -1.71638753826073, 0.282469870623761, 0.517721735919348, 0.734558507053567, -0.422671780695275, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, -18.3826562129212, -2.03116927639453, -0.692632428106748, -15.249369531479, 8.73172424602405, 20.7357655158531, -5.14378880434676, -14.5661269431648, -14.0735629998059, -3.1818781455726, -11.8250703353458, -2.28063445072232, 5.72149549373033, -8.28073346614134, -19.053273728511, -9.24656062205327, -8.70558699125535, 11.3147537290436, -4.98046883853199, -10.8085590850615, 11.4212040365199, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.369730587231628, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -2.50262152979895, 1.32645478405243, 0.0269793216173192, -0.862889448370133, -0.785655199467656, -0.148983535412102, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, -1.0031038879234, 0.0177286742852289, 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1.63322451598054, 0.515988379149648, 0.57600116391318, -0.292483387028429, 0.528436375524047, -0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, -1.07460677191658, -0.0403419720204135, -0.738353042299165, -0.0465678812137429, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.895997832057571, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 0.890219621027536, -0.226136216083787, -0.706973243484188, 0.349254965543424, -1.16340183424519, -0.932948424860186, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, 0.437928531993262, 0.881573985203294, 0.657660667837481, 1.9673566235267), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -10.7957550265179, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, 24.1454032132213, -13.969103962324, -2.89287244232098, -14.0735629998059, -3.1818781455726, -8.68498564147923, -2.28063445072232, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, -4.98046883853199, -10.8085590850615, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.497385784376131, 0.392596468870937, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.999862152281694, -0.131035380402158, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, 0.0527774938826198, -0.068633696125817, 0.85842250305929, 0.484569434497438, -0.454665712829646, 1.2573668672221, 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0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.528436375524047, -1.54911198056862, -0.025696521526341, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 2.35301647902166, -1.01861999709059, 0.136417692905443, -1.34850115368141, -1.0311916789257, 0.517933563530361, -0.169105211356617, 0.635417948752758, 1.16292033782413, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.221248384886406, -0.0938003176542031, 1.79001798478017, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.282469870623761, 0.313805041746214, -1.27198132109611, -0.422671780695275, -0.325055707435347, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(-1.84575738837975, 10.0060431194859, -16.960851676496, -10.7957550265179, -2.03116927639453, 6.43015965629958, -20.2249403972771, 24.1454032132213, -5.58862024667344, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, -19.053273728511, -18.6044712732927, 3.14390224379052, 11.3147537290436, 6.65189162279916, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.329263458810201, 0.392596468870937, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.0132449593663705, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, 0.0269793216173192, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, -1.0031038879234, 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0.630127566957426, -0.225044963997591, 0.515988379149648, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, -1.07460677191658, -1.34850115368141, -0.0465678812137429, 1.51706949884474, -1.61469611115815, 0.635417948752758, 0.622556854177482, -1.42835248557666, 0.221248384886406, -1.6827376240604, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.930750776451752, -0.706973243484188, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.163013137616148, 1.9673566235267), y = c(1.36455146549798, -9.01558859805802, 10.0060431194859, -2.03116927639453, 6.43015965629958, -20.2249403972771, -15.249369531479, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.0735629998059, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, -4.98046883853199, -26.8153800228268, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.109427447325672, -0.0124953265399268, -1.19551640355375, 0.61639251913841, -0.131035380402158, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, -0.862889448370133, 1.48556666597297, 0.0527774938826198, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.484569434497438, -1.0031038879234, 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-0.225044963997591, 0.958282033567734, 0.57600116391318, -0.420864025280671, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, -1.07460677191658, -0.0403419720204135, 0.517933563530361, 1.51706949884474, 1.02470255994038, -1.61469611115815, 1.16292033782413, 0.622556854177482, 0.146900433152128, -1.66202468624362, 1.79001798478017, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, 0.349254965543424, -1.10086936580084, 0.282469870623761, 0.313805041746214, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, 0.437928531993262, 0.881573985203294, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, -16.960851676496, -2.03116927639453, 11.1105459007604, 8.73172424602405, -5.58862024667344, -13.969103962324, 5.90172525990606, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -3.1818781455726, -11.8250703353458, -19.053273728511, -18.6044712732927, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, -4.98046883853199, -10.8085590850615, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, -0.0124953265399268, -1.38231290160394, 1.91356398362494, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, -0.590944016006711, -1.62180498737223, -0.785655199467656, -0.408562695807195, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.607657973242432, -0.454665712829646, -0.407037307483899, -0.54661479412367, 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-1.89511102402658, -0.969799918712754, -1.54376344735948, 1.56651989517544, 0.919130142694553, -0.621154609290433, -1.07767435276103, 0.668556939511994, 0.244224270569954, 0.370771702704945, 0.434890347048558, 0.305998825577084, -0.0589492478228027, -0.75167137747026, -1.47450409965539, 0.239831556919846, 0.95930315223558, -0.236543470997769, 0.277292507083997, -0.38531292702555, 0.789249601470516, -1.2959878461407, -0.63451571385257, -0.0199574527351158, 0.604843671560403, 2.18920985430838, 0.372595121850278, 0.337016813050068, 1.94495988032926, 2.38639103748848, 0.63408419444579, -1.0510204933252, -0.957493595106902, 0.0121886461030446, -0.877320635002788, -0.105659164501549, 1.51742041294056, 0.23483287240135, 0.819703667929469, -0.193603159913885, -0.334080790368491, 2.07860357115171, 0.884217413171091, -1.60863815945688, -0.543216258798932, -1.81891445464763, -0.800196402559196, -0.295110315660504, -0.00094759257249616, -0.893855795889766, -0.427437192765897, 0.766358771682672, -0.520689299988748, 0.366903821235228, -0.0775043851498784, -0.932450573591533, 1.97692571277644, 0.630127566957426, 0.958282033567734, -0.292483387028429, -0.025696521526341, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 1.29456537655635, 0.136417692905443, 0.621583927869213, -0.738353042299165, -1.0311916789257, -0.0465678812137429, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.622556854177482, 0.221248384886406, 0.020015945396685, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.459332344538367, -1.16340183424519, 0.823778920330776, 0.282469870623761, 0.313805041746214, 0.517721735919348, 0.734558507053567, -0.325055707435347, -1.13080371724134, 0.657660667837481, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, -2.03116927639453, -20.2249403972771, -0.692632428106748, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -5.14378880434676, -14.5661269431648, -8.68498564147923, -13.6626854617305, -19.053273728511, -18.6044712732927, -9.24656062205327, -8.70558699125535, 6.65189162279916, 11.4212040365199, 3.83881941831794, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(0.109427447325672, 2.14813206801029, -0.0124953265399268, -1.19551640355375, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.384828874562752, -1.62180498737223, -0.862889448370133, -0.785655199467656, -0.148983535412102, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.645249759649571, 0.85842250305929, -0.454665712829646, 0.0177286742852289, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 0.08045075237832, -0.0819837534591141, 0.694479394148268, -1.09145442344329, -1.3632676594632, 0.618427331722249, -1.72686829066019, 2.26593042756662, -0.0700224712550635, 0.0377416114053704, -0.489537613420034, 1.72170279954321, 0.644702109684377, 0.37488328303797, 0.0147119932479895, 0.635872847512857, -0.56311296508807, 0.13731573245493, -1.14957459918671, 0.923755601743204, -1.24375958759864, -0.0401479899190281, 0.964708322509481, -0.340953741960209, 0.0138971797505822, -0.906438189087774, -0.0597744693880172, -1.49758938854738, -0.167035370144096, 1.46656196659878, -1.39761736908545, 1.4930350986511, 0.488139998125735, -1.45627198439604, 0.758543987052176, -0.0606704539843979, 0.831418370899066, 1.78005772455437, -0.827915611798624, 0.807466350688683, 1.11882736544319, 0.0543398067159208, -0.252678758693562, -1.01747434985744, 0.9112635830062, -0.259726012090368, -1.28001708406143, 0.515447179904243, -0.589107131273012, -1.27197214664359, 1.29510905721273, -0.727847240663119, -0.781546552312647, -1.64608040491097, -1.60957254952179, 2.11762248468678, -1.0633032081978, -0.123370089967114, -0.873742911461729, 0.48088772411133, -1.07843479513191, -0.702773145648998, -0.117476672585284, 0.0663620826162833, 1.42860637259573, -0.942606417920914, 0.423265746089058, 1.61494547691554, 0.55025634179925, 1.13321211088213, 1.79124434734197, 0.170468883396581, -0.742960936918572, 0.56205050847103, 1.71391136769315, 0.726053754803989, -0.0626511715191271, -1.3752740688133, 0.261594391496977, -0.273456346164482, -1.2960731028759, -0.0102266185711065, -0.18145400783566, 1.67434462048933, 0.0124275652001895, -0.198512788406643, -0.0757175984553548, 0.0180755877298397, -0.515325418468592, -0.52286302559815, 0.399806107234972, -0.673037732788009, -0.416182826002973, -0.71742103420099, -0.434245677192777, 0.76909612593475, -0.118294986049733, -1.48968940820465, -3.23378425930185, -0.640103250836354, 0.345456103750523, 0.398619443265811, -0.817397213427188, -2.46597306355617, -0.451200694804514, -0.956001796896524, -1.40044489409003, -0.643212238918941, 1.74549581837202, 1.31841814009384, -0.237325996676579, -1.13602814119055, 0.888726859138348, 1.21865718544834, -0.489481522951875, 0.828740347673874, -0.534230142299035, -0.0746344632821325, 0.281006434287513, 0.363222588980934, -0.0987871733621761, -0.557036236226552, -2.23537108124741, -1.65172272308454, -0.682453074453237, 0.779967819521142, 1.22301611062456, -0.46637850234757, 1.53043764712667, 0.642570112530202, -0.260272524454244, -0.930273805267811, -0.63830245028472, -0.617096867129088, 0.734596776065243, -0.466026197763668, 0.561703476556801, -0.516301571086276, 1.07147636783086, 2.70973093150863, -0.210359885271959, -0.0874733946062214, -0.309162496725258, -0.290109864165446, -0.203686249897211, -0.215048758150778, 2.0061118311743, -1.7561689493717, 1.78590058179083, -1.63439039431383, 0.739367754996187, 0.10269874522492, -0.621159978657518, 0.247892266270659, 0.00789012769530819, 0.301975036871543, 1.1861374061626, -1.17474203274423, 0.76012478959405, -0.192218919151973, -0.366163587060591, -1.35212002688554, -0.021230410289657, 0.63187190790291, -1.2355789917853, 0.162946567256247, 0.698767790670036, 0.976440808648031, 0.786721752530905, 1.47270362596491, 0.298005123518934, 2.35151289062791, 0.426512735081228, 0.518757540572187, 0.79293890877902, -0.613142215746885, 1.03463564930448, 0.420819260635745, -1.08685973753418, 0.141605370089618, -0.402369323168305, 1.27894686659961, -0.0923691449284719, -0.35305135076846, -0.739980124412477, -1.09717867200509, 1.13084950715164, 0.0842830014677174, 0.188955334951221, -1.13613254914963, -0.356929179983208, -0.903962617443594, 1.90317124741509, -0.608483824599274, -1.50487239474963, -0.478408260361541, -1.48209692789484, 1.83345757601824, -0.10936440875318, -0.927653674273559, 0.0942616699301531, -0.373043816308207, -2.6919304209352, -0.776394356477844, -0.341474343411678, 0.81766047342193, 0.526745967780915, 0.433650047718016, 0.49848669120262, -0.136113699843351, 0.511952531298659, 0.0364186906980178, -0.53922208899371, -1.54788607728666, -0.297807870023144, 2.95502904348058, 0.00617378318570502, 1.02885594510592, -0.996172504439781, -0.655802591030587, -0.294683216573479, 1.21864071889036, -0.24405646618636, -0.413769820081049, 0.727919011379007, 1.09868746832382, 0.139985151451238, 1.64196803877586, 0.233669956812146, 2.25867310960604, -1.49552185789536, -0.103709922155822, 1.42132588923177, -1.53295237095854, -1.48546098741195, -2.13264840394476, -0.336507750992196, 0.556535693970008, -0.00763643605195159, -0.550620736282544, -0.836843616003938, 0.66332663036614, 0.768648652444844, -0.703496920971294, 0.489701763572655, 0.789848226552627, 1.04916512872626, 0.158958778269984, 0.511837391571719, -0.92087667831257, -0.0339077007574963, -0.633875356291442, -0.537651119810859, -0.20885865789593, 2.62354931848441, 0.0993334378956989, -0.175365555968755, -0.773495429371934, 2.37507161651922, -1.0315529861596, 0.498386374906394, -1.44607369143206, 1.08037111149496, -0.348957096426556, -0.53169128685963, 1.20421267396208, -0.226192579499916, -0.930403224048746, 1.0916531983078, 0.102663125158192, 0.418509412482758, 0.231930091640901, -1.95534475564795, -0.0304461056602778, -1.47659014407861, -0.899218116492297, -0.979400890923633, 0.0513076482157255, -0.617005309808643, 0.979235015619018, -0.20984877721844, 0.840449808074793, 0.906126858109331, 1.26572780485669, -0.228999753976714, -0.922965655482584, 1.78679016300253, -0.201608754148457, 1.10191230392503, 0.859559909614311, 1.01806644345921, *** caught segfault *** address 0x110, cause 'invalid permissions' -1.37250695341921, 0.257623499929804, -2.21276505725076, 0.710734617445064, -0.215647334285331, 0.436926632982249, 0.671146147336693, -0.183220792902803, -0.451573875876096, 0.737155327487493, 1.11389905893292, 0.181011675181854, -1.01115874749592, 1.24483609267652, 0.030803930965818, 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-0.225044963997591, 0.958282033567734, 0.57600116391318, -0.292483387028429, 0.528436375524047, 2.62159903950059, -0.025696521526341, -0.342343002481559, 0.474562817860045, 2.35301647902166, 0.136417692905443, -0.0403419720204135, -0.738353042299165, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.16292033782413, -0.676290435218596, 0.622556854177482, 0.146900433152128, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.930750776451752, 0.459332344538367, 0.349254965543424, -1.16340183424519, -0.932948424860186, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.517721735919348, -1.27198132109611, -0.325055707435347, 0.881573985203294, 0.657660667837481, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(-16.960851676496, -18.3826562129212, -2.03116927639453, 11.1105459007604, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -0.377248798794355, -14.5661269431648, -3.1818781455726, -8.68498564147923, -2.28063445072232, 5.72149549373033, -13.6626854617305, -8.28073346614134, -9.24656062205327, 3.14390224379052, 6.65189162279916, -10.8085590850615, 3.83881941831794, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.392596468870937, 0.0132449593663705, 0.999862152281694, 1.40505139126812, 0.925147932061565, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.208164055388184, -0.607657973242432, 0.484569434497438, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 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-0.292483387028429, 0.528436375524047, -1.54911198056862, -0.025696521526341, -0.342343002481559, 0.648305848591187, 1.29456537655635, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, 0.837983217684359, -0.169105211356617, 0.635417948752758, -1.6827376240604, -0.0938003176542031, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.459332344538367, -0.706973243484188, -1.16340183424519, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.71638753826073, -1.21710943324447, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664), y = c(9.51570119036855, -1.84575738837975, 10.0060431194859, -15.249369531479, 24.1454032132213, 5.90172525990606, 20.7357655158531, -5.14378880434676, -14.5661269431648, -14.0735629998059, -8.68498564147923, -2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, -12.5145663041873, -8.70558699125535, 11.3147537290436, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.999862152281694, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, 1.48556666597297, -0.148983535412102, 0.193963098805273, -0.408562695807195, 0.484569434497438, 0.0177286742852289, 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-1.21674219540306, 1.97692571277644, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, -0.420864025280671, 0.528436375524047, 2.62159903950059, -0.025696521526341, -1.01861999709059, -0.0403419720204135, -0.738353042299165, -0.0465678812137429, 1.51706949884474, -0.169105211356617, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.020015945396685, -1.6827376240604, -1.66202468624362, -0.0938003176542031, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.823778920330776, -0.422671780695275, 0.881573985203294, 0.657660667837481, 1.9673566235267), y = c(1.36455146549798, -1.84575738837975, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, -0.692632428106748, -15.249369531479, 8.73172424602405, 24.1454032132213, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, -11.8250703353458, -2.28063445072232, 5.72149549373033, -13.6626854617305, 11.3147537290436, -10.8085590850615, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, 2.14813206801029, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -2.50262152979895, 1.40505139126812, 1.32645478405243, -1.62180498737223, 0.0269793216173192, -0.862889448370133, 1.48556666597297, 0.193963098805273, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.645249759649571, 0.484569434497438, -0.454665712829646, 0.0177286742852289, -0.407037307483899, 1.2573668672221, 1.06772950730813, 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-18.6044712732927, -9.24656062205327, 11.3147537290436, 6.65189162279916, -10.8085590850615, 11.4212040365199, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.0132449593663705, -2.50262152979895, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, -0.408562695807195, 0.0527774938826198, -0.208164055388184, 0.85842250305929, -0.607657973242432, 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0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.57600116391318, -0.292483387028429, -0.025696521526341, 1.65979764946917, 0.648305848591187, 2.35301647902166, 1.29456537655635, -0.0403419720204135, -1.0311916789257, 1.51706949884474, 1.02470255994038, 0.837983217684359, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.221248384886406, -1.6827376240604, 0.890219621027536, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.16340183424519, 0.823778920330776, 0.282469870623761, -1.21710943324447, -1.27198132109611, 0.734558507053567, 0.881573985203294, -0.188425688499664), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, -20.2249403972771, -15.249369531479, -13.969103962324, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, -13.6626854617305, -19.053273728511, -12.5145663041873, 3.14390224379052, -8.70558699125535, -10.8085590850615, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 1.40505139126812, -1.62180498737223, -0.862889448370133, -0.785655199467656, 1.48556666597297, 0.702119314562013, -0.645249759649571, -0.208164055388184, -1.0031038879234, 0.0177286742852289, -0.407037307483899, 1.2573668672221, 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-1.37770197013537, -0.386423225090122, -0.932450573591533, 0.958282033567734, 0.57600116391318, -0.292483387028429, -0.420864025280671, -0.342343002481559, 0.474562817860045, 0.648305848591187, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -1.34850115368141, 0.517933563530361, 1.02470255994038, 0.837983217684359, -0.169105211356617, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, 0.146900433152128, 1.699931496446, 0.459332344538367, 0.349254965543424, -1.16340183424519, -1.10086936580084, -1.71638753826073, 0.517721735919348, -1.21710943324447, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.163013137616148, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 11.1105459007604, 5.90172525990606, -14.5661269431648, -3.1818781455726, -8.68498564147923, -11.8250703353458, -8.28073346614134, -9.24656062205327, -12.5145663041873, -4.98046883853199, -10.8085590850615, 11.4212040365199, -26.8153800228268, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, 0.392596468870937, 0.109427447325672, 0.369730587231628, 0.422120338844796, 1.91356398362494, -1.19551640355375, 1.32645478405243, -0.384828874562752, -0.785655199467656, 1.48556666597297, -0.323378716168106, -0.408562695807195, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.208164055388184, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 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-0.025696521526341, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, 1.51706949884474, -0.169105211356617, 0.635417948752758, 1.16292033782413, -0.895997832057571, -1.42835248557666, 0.020015945396685, 0.146900433152128, -0.226136216083787, 0.930750776451752, -1.16340183424519, -1.10086936580084, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.282469870623761, 0.313805041746214, -1.21710943324447, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664), y = c(1.36455146549798, -1.84575738837975, 10.0060431194859, -16.960851676496, -10.7957550265179, 6.43015965629958, -0.692632428106748, 11.1105459007604, -2.89287244232098, -0.377248798794355, -8.68498564147923, -11.8250703353458, 0.202967839439172, -13.6626854617305, -8.28073346614134, -19.053273728511, -18.6044712732927, -12.5145663041873, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, 0.392596468870937, 0.109427447325672, 0.369730587231628, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.590944016006711, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.607657973242432, 0.0177286742852289, 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0.528436375524047, 2.62159903950059, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 1.29456537655635, -0.0403419720204135, -0.738353042299165, -1.34850115368141, 1.02470255994038, 0.837983217684359, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.221248384886406, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.163423183653266, -1.10086936580084, -0.932948424860186, -0.962403409950212, -1.71638753826073, 0.282469870623761, 0.313805041746214, 0.734558507053567, 0.881573985203294, 0.657660667837481, 0.163013137616148), y = c(-19.298534993808, 9.51570119036855, 10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, -2.03116927639453, -20.2249403972771, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -5.14378880434676, -11.8250703353458, -2.28063445072232, 5.72149549373033, -8.28073346614134, -19.053273728511, -18.6044712732927, -8.70558699125535, -10.8085590850615, 3.83881941831794, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.329263458810201, 0.392596468870937, 0.369730587231628, -0.0124953265399268, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -2.50262152979895, 1.40505139126812, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.0527774938826198, -0.645249759649571, -0.208164055388184, 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-0.292483387028429, -0.420864025280671, 0.528436375524047, -1.54911198056862, 1.65979764946917, 0.474562817860045, 0.648305848591187, -1.01861999709059, -0.0465678812137429, 0.837983217684359, -1.61469611115815, 0.635417948752758, -0.895997832057571, 0.622556854177482, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, 0.890219621027536, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.282469870623761, 0.517721735919348, -1.21710943324447, -0.422671780695275, 1.9673566235267), y = c(9.51570119036855, -9.01558859805802, 10.0060431194859, -10.7957550265179, -2.03116927639453, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, -13.969103962324, 5.90172525990606, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, -11.8250703353458, -2.28063445072232, 0.202967839439172, -19.053273728511, -9.24656062205327, -12.5145663041873, 11.3147537290436, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.329263458810201, 0.392596468870937, 0.109427447325672, -0.0124953265399268, 0.422120338844796, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, -0.862889448370133, -0.785655199467656, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.484569434497438, -1.0031038879234, 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1.12728548651946, 0.244224270569954, -0.140217795368861, 0.370771702704945, 1.30714178663705, 0.305998825577084, -0.0589492478228027, -0.75167137747026, 0.854641160954447, -0.58515402752619, 0.0892870682912178, -0.236543470997769, 0.37721552072974, 0.604843671560403, -1.53684492270274, -0.576746919364187, 2.18920985430838, -0.863981059198544, 0.205398669876472, 0.730514711728527, -0.362482436128475, 2.38639103748848, 0.63408419444579, 0.327753897747732, -0.957493595106902, 0.13774154709695, 0.0121886461030446, -0.164690775680996, -0.877320635002788, -2.31676780108091, 1.51742041294056, 0.23483287240135, 0.819703667929469, 0.0965876703558167, 0.89927644551979, 0.0194456197928905, 0.884217413171091, -0.501233595341427, -0.893855795889766, 0.473735318832432, 0.61532688679562, -0.427437192765897, 0.230163955877312, -1.37770197013537, -0.386423225090122, -1.21674219540306, -0.0775043851498784, -0.932450573591533, 1.63322451598054, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.57600116391318, -0.292483387028429, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, -1.01861999709059, -1.07460677191658, -0.738353042299165, -1.34850115368141, -1.61469611115815, 0.635417948752758, 1.16292033782413, 0.622556854177482, -1.42835248557666, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, 0.349254965543424, -1.16340183424519, -1.71638753826073, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, -0.422671780695275, 0.437928531993262, 0.657660667837481, 0.163013137616148), y = c(-9.01558859805802, 10.0060431194859, -16.960851676496, -2.03116927639453, 6.43015965629958, -15.249369531479, 11.1105459007604, 24.1454032132213, -13.969103962324, 5.90172525990606, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -3.1818781455726, -8.68498564147923, -8.28073346614134, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 11.3147537290436, -4.98046883853199, 3.83881941831794, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.497385784376131, -0.329263458810201, 0.369730587231628, 0.422120338844796, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -0.131035380402158, -2.50262152979895, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.0527774938826198, -0.208164055388184, -0.607657973242432, 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-0.420864025280671, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.025696521526341, 1.65979764946917, 0.648305848591187, 1.29456537655635, -1.01861999709059, 0.517933563530361, 1.02470255994038, -0.169105211356617, -1.61469611115815, -0.895997832057571, -1.42835248557666, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, 1.79001798478017, 0.890219621027536, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.282469870623761, -1.21710943324447, 0.734558507053567, -0.422671780695275, -0.0921443668266886), y = c(-19.298534993808, -1.84575738837975, -9.01558859805802, -10.7957550265179, 6.43015965629958, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, -5.58862024667344, -13.969103962324, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -19.053273728511, -12.5145663041873, -8.70558699125535, 11.3147537290436, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.329263458810201, 0.109427447325672, 2.14813206801029, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, -0.148983535412102, 0.193963098805273, 0.0527774938826198, -0.645249759649571, -0.607657973242432, 0.484569434497438, 0.0177286742852289, -0.407037307483899, 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0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, 0.528436375524047, 2.62159903950059, 1.65979764946917, 0.474562817860045, 1.29456537655635, -1.01861999709059, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.0311916789257, -1.61469611115815, 1.16292033782413, -0.676290435218596, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -0.932948424860186, -0.962403409950212, 0.282469870623761, 0.517721735919348, 0.734558507053567, -0.422671780695275, 0.881573985203294, -1.13080371724134, 0.657660667837481, -0.188425688499664), y = c(-9.01558859805802, -16.960851676496, -18.3826562129212, -15.249369531479, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, -2.28063445072232, 5.72149549373033, -19.053273728511, -9.24656062205327, -8.70558699125535, 11.3147537290436, -10.8085590850615, 11.4212040365199, 3.83881941831794, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 0.392596468870937, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, 0.0132449593663705, 0.61639251913841, -0.131035380402158, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.590944016006711, -1.62180498737223, 0.0269793216173192, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.208164055388184, -0.607657973242432, 0.484569434497438, -0.454665712829646, 0.0177286742852289, 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-0.0775043851498784, -0.932450573591533, 1.63322451598054, 0.630127566957426, 0.958282033567734, 0.515988379149648, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 1.29456537655635, -1.01861999709059, 0.136417692905443, -0.0403419720204135, -0.0465678812137429, 0.517933563530361, 1.02470255994038, 0.635417948752758, 1.16292033782413, -0.895997832057571, 0.622556854177482, -1.42835248557666, -1.6827376240604, -1.66202468624362, 1.79001798478017, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.163423183653266, 0.459332344538367, -0.706973243484188, -1.71638753826073, 0.282469870623761, 0.313805041746214, -1.21710943324447, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.881573985203294, 1.9673566235267, -0.0921443668266886), y = c(-19.298534993808, 10.0060431194859, -16.960851676496, -10.7957550265179, -2.03116927639453, 6.43015965629958, -15.249369531479, 8.73172424602405, -5.58862024667344, -13.969103962324, 5.90172525990606, -2.89287244232098, -5.14378880434676, -14.5661269431648, -14.0735629998059, -8.28073346614134, -19.053273728511, -18.6044712732927, -12.5145663041873, -8.70558699125535, 11.3147537290436, 6.65189162279916, -10.8085590850615, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 0.109427447325672, 0.369730587231628, -1.38231290160394, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -0.131035380402158, 1.40505139126812, 1.32645478405243, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, 0.85842250305929, 0.484569434497438, 0.0177286742852289, -0.407037307483899, 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-2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, 3.14390224379052, 11.3147537290436, -10.8085590850615, 11.4212040365199, 3.83881941831794, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, 0.392596468870937, 0.109427447325672, -1.38231290160394, 1.91356398362494, -1.19551640355375, -0.131035380402158, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.785655199467656, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, -0.454665712829646, -0.407037307483899, 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-1.54911198056862, 2.62159903950059, -0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, 0.136417692905443, 0.621583927869213, -1.34850115368141, -0.0465678812137429, 1.51706949884474, 0.837983217684359, 0.635417948752758, 1.16292033782413, 0.221248384886406, 0.020015945396685, 0.146900433152128, 1.79001798478017, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.163423183653266, -1.16340183424519, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.325055707435347, -1.13080371724134, 0.163013137616148, 1.9673566235267), y = c(1.36455146549798, 9.51570119036855, 10.0060431194859, -16.960851676496, -20.2249403972771, -0.692632428106748, 11.1105459007604, -5.58862024667344, 5.90172525990606, 20.7357655158531, -2.89287244232098, -5.14378880434676, -8.68498564147923, 0.202967839439172, 5.72149549373033, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 6.65189162279916, 11.4212040365199, -26.8153800228268, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.422120338844796, -1.38231290160394, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -0.131035380402158, 1.32645478405243, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, 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-0.376620074177479, -0.969799918712754, 0.246010570856867, 0.969522342318959, 1.01990058898456, 1.56651989517544, -2.77960446940312, 0.668556939511994, 0.244224270569954, 0.080878138458566, -0.140217795368861, 0.370771702704945, 0.227426364534435, -0.997344910274393, 2.03911167526373, 0.434890347048558, 1.30714178663705, -0.0589492478228027, -0.75167137747026, 0.854641160954447, 0.71342138419062, 0.239831556919846, -0.586448471595223, -0.63451571385257, -0.0199574527351158, -0.863981059198544, 0.372595121850278, 0.205398669876472, 0.730514711728527, -0.362482436128475, 1.94495988032926, 0.327753897747732, -0.957493595106902, 0.0121886461030446, -0.497765393683735, -0.164690775680996, -0.877320635002788, -0.962439645841172, 0.242444567393309, -0.624590280144141, -0.105659164501549, -2.31676780108091, 0.23483287240135, 0.819703667929469, 0.0965876703558167, 0.202301735851574, -0.334080790368491, -0.653863831125984, -0.295110315660504, -0.00094759257249616, 0.230163955877312, 0.766358771682672, -1.37770197013537, -0.386423225090122, -1.21674219540306, 0.366903821235228, 1.63322451598054, 0.630127566957426, 0.958282033567734, 0.515988379149648, 0.57600116391318, -0.292483387028429, -0.420864025280671, 0.528436375524047, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 0.136417692905443, 0.517933563530361, 0.837983217684359, -0.169105211356617, -1.42835248557666, 0.221248384886406, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 1.79001798478017, -0.226136216083787, 0.163423183653266, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, -0.325055707435347, -0.0921443668266886), y = c(9.51570119036855, -1.84575738837975, 6.43015965629958, -20.2249403972771, -15.249369531479, 11.1105459007604, 24.1454032132213, -5.58862024667344, -2.89287244232098, -5.14378880434676, -14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, 6.65189162279916, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.329263458810201, -0.0124953265399268, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, -0.131035380402158, -2.50262152979895, 1.32645478405243, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.702119314562013, 0.0527774938826198, -0.068633696125817, 0.85842250305929, -0.607657973242432, 0.0177286742852289, -0.407037307483899, 0.0413028633830614, 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Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.392596468870937, 0.369730587231628, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 0.0132449593663705, 0.61639251913841, 0.999862152281694, 1.40505139126812, -0.590944016006711, -0.384828874562752, -1.62180498737223, -0.862889448370133, 1.48556666597297, 0.702119314562013, -0.068633696125817, 0.85842250305929, 0.484569434497438, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 1.06772950730813, 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-2.31676780108091, 0.23483287240135, 0.202301735851574, 0.89927644551979, 0.884217413171091, -0.501233595341427, -1.60863815945688, -0.543216258798932, -0.653863831125984, -0.295110315660504, -0.00094759257249616, 0.473735318832432, -1.16324482296585, -0.969332499364285, -0.427437192765897, 0.766358771682672, -1.37770197013537, -0.501966720876529, -1.21674219540306, -0.932450573591533, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.57600116391318, -0.420864025280671, -0.342343002481559, -0.0630130729046384, 2.35301647902166, -1.01861999709059, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 0.837983217684359, -0.169105211356617, 0.635417948752758, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.221248384886406, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 1.699931496446, 0.163423183653266, 0.930750776451752, 0.459332344538367, 0.349254965543424, -1.10086936580084, -1.71638753826073, 0.313805041746214, -1.27198132109611, -0.422671780695275, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(9.51570119036855, -1.84575738837975, 10.0060431194859, -10.7957550265179, -18.3826562129212, -2.03116927639453, -20.2249403972771, -15.249369531479, 8.73172424602405, 24.1454032132213, 5.90172525990606, -5.14378880434676, -0.377248798794355, -14.5661269431648, -3.1818781455726, -11.8250703353458, -8.28073346614134, -18.6044712732927, 3.14390224379052, 11.3147537290436, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... 1.9673566235267, -0.0921443668266886), y = c(-9.01558859805802, -2.03116927639453, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, -5.58862024667344, -13.969103962324, -2.89287244232098, -14.0735629998059, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 5.72149549373033, -8.28073346614134, -19.053273728511, -18.6044712732927, 3.14390224379052, -8.70558699125535, -10.8085590850615, 11.4212040365199, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.497385784376131, -0.329263458810201, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.0132449593663705, -0.131035380402158, -2.50262152979895, 0.925147932061565, 1.32645478405243, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.0527774938826198, 0.484569434497438, -0.454665712829646, -1.0031038879234, 1.2573668672221, 0.0413028633830614, 1.06772950730813, -0.0488060824900928, -0.440053388113733, -0.954001731601508, -1.1548208890248, 0.694479394148268, -1.09145442344329, 0.0739098297256866, -0.254224392161768, 0.204155611826281, 0.618427331722249, -1.72686829066019, -0.0700224712550635, 0.0377416114053704, 0.644702109684377, 0.37488328303797, -1.16463010363052, 0.0147119932479895, 0.525968471417544, -2.09642244594532, 1.43064660553193, -1.24375958759864, 1.34112184635709, -0.340953741960209, 0.0138971797505822, -1.05317352836094, 1.89274505508417, 0.349974994424129, 0.291450932602289, -0.126454735087022, -1.49758938854738, -0.167035370144096, -0.0152104317386783, -1.62650457429489, -1.10877267617713, -1.39761736908545, 1.4930350986511, -1.45627198439604, 0.758543987052176, 1.78005772455437, -0.827915611798624, 0.919223472197526, 0.807466350688683, -1.94088545588738, -0.120777432654999, -1.71629592507494, -0.259726012090368, 0.766393478681659, -0.589107131273012, -1.27197214664359, 0.0768918419484556, 0.424306729242291, -0.893715807644369, -0.798559905103909, 1.0445436842654, -0.781546552312647, -1.64608040491097, -0.223382734121866, -1.43400169445436, -1.03592435127816, 2.11762248468678, -1.0633032081978, -0.873742911461729, 0.48088772411133, -0.117476672585284, 0.0663620826162833, 1.43806494223423, 1.42860637259573, -1.64850310966172, -0.123582972972882, 1.00408337040486, 1.79124434734197, -0.224627261372027, 0.56205050847103, 1.71391136769315, 0.200871600946274, -1.06985527769676, 0.253756484075861, -0.637659385772596, 1.00541444295055, -1.3752740688133, 0.261594391496977, -1.21236293366693, 0.37359814219505, 2.20094585902094, -1.2960731028759, -0.0102266185711065, 1.67434462048933, 0.0124275652001895, 0.0180755877298397, -0.515325418468592, 1.26100463710029, -0.52286302559815, 0.000982564076274508, -2.03511759414201, -0.177539141365907, 0.76909612593475, -0.117957206620351, -3.23378425930185, -0.640103250836354, 0.0386393909781821, 1.57964993772634, 0.598319601318689, 1.703084892433, -0.264548184881037, -0.817397213427188, -2.46597306355617, 0.00485529747172464, 0.42824845017823, 0.122380413529368, -0.956001796896524, -1.40044489409003, 1.74549581837202, 1.31841814009384, 0.888726859138348, 1.21865718544834, 0.164368935924678, -0.489481522951875, -1.86441576774526, 1.8903710506355, -1.14919143171112, -0.0987871733621761, -0.657156948598798, -1.65172272308454, -0.682453074453237, 0.158779074389276, -1.64471601139409, -1.76400163837901, -0.509647680191873, 0.162160125388196, -0.46637850234757, 1.53043764712667, -1.47043999073208, 1.00664886991032, 0.594641710989566, -0.260272524454244, -0.930273805267811, -0.617096867129088, 0.734596776065243, -0.516301571086276, 1.07147636783086, 1.29265268973447, 2.70973093150863, 0.9322968497066, -1.1358383475932, -0.326836647569676, -0.215048758150778, -0.113935749220566, 1.78590058179083, -1.63439039431383, -1.25796245603168, -0.382180097181891, 0.804593386455215, 1.42112592755504, -1.27449689101497, -0.621159978657518, 0.247892266270659, -0.967819655488184, -0.0491421911237822, 0.656933929294045, 0.301975036871543, 1.1861374061626, 0.76012478959405, -0.192218919151973, -0.021230410289657, 0.63187190790291, -0.0559109330476803, -1.2355789917853, -1.47352965462111, -0.758171555647719, 0.167987496707541, 0.298005123518934, 1.56159483100008, 0.518757540572187, 0.79293890877902, 0.591519728236008, 0.758832811376545, -2.23604098320896, 1.00222668895988, 1.65902045584644, 0.420819260635745, -1.08685973753418, 0.525887605197568, -0.296646966911662, -0.261141281539028, -0.402369323168305, 1.27894686659961, -0.35305135076846, -0.739980124412477, 0.0842830014677174, 0.188955334951221, 0.47576949775192, -1.13613254914963, 0.874087228165842, -0.973190145070518, -0.367604601064676, -0.478408260361541, -0.561042230007499, -0.10936440875318, -0.927653674273559, 0.404287168011041, -1.05355782720474, 1.67910661994802, 0.150888478313585, -1.48441142370325, -2.6919304209352, -0.776394356477844, -1.02470878254239, -0.215556735599006, -2.37978227720504, 0.81766047342193, 0.526745967780915, 0.49848669120262, -0.136113699843351, -0.53922208899371, -1.54788607728666, -0.0211140410132231, -0.297807870023144, 0.302146507506861, -0.458195414544759, 0.664423908739973, -0.294683216573479, -0.34026403993502, -0.413769820081049, 0.727919011379007, -0.628188655929664, 0.16000613076311, 0.0603998058488802, 0.193378374972275, 0.224445545964237, 1.64196803877586, 0.233669956812146, 2.17984446400712, -0.699905129488961, -0.150396043177927, -1.49552185789536, -0.103709922155822, -1.53295237095854, -1.48546098741195, 0.556535693970008, -0.00763643605195159, -1.25594533749501, -0.550620736282544, -0.641482647161614, 0.633704912011415, -0.746072498077002, 0.789848226552627, -0.395666893681731, 0.511837391571719, -0.92087667831257, 0.344045581630621, 0.368091954200837, -0.495407285250431, -1.66222692781684, -0.20490100374595, -0.537651119810859, -0.20885865789593, -0.911991751891184, 0.547892784217789, 1.53685330848037, 0.0993334378956989, -0.175365555968755, 2.37507161651922, -1.0315529861596, 1.08037111149496, -0.348957096426556, 0.438628537110937, -0.53169128685963, 0.01702934949853, -1.45160562993114, 0.549626426089899, 0.418509412482758, -0.0190183579973745, -0.0304461056602778, -1.47659014407861, -1.23100728007113, 0.59051678296738, -0.106482100395733, -0.630241030139762, -1.16216269921145, 0.0513076482157255, -0.617005309808643, 1.1033683766172, -1.17635146794459, -1.26551857769077, -0.20984877721844, 0.840449808074793, 1.26572780485669, -0.228999753976714, -0.201608754148457, 1.10191230392503, -1.90123137382818, 0.859559909614311, 0.0614040139531168, 0.447955388149249, 1.11432994842176, -0.215647334285331, -0.0380572998811024, -0.183220792902803, -0.451573875876096, 0.387880462599975, 0.327096961450932, -1.45154325690625, 1.46590347159615, 0.150787764486556, 0.181011675181854, -1.01115874749592, 0.399116417579643, 0.117790693160214, 0.524602521245119, 0.030803930965818, 0.00840625502598715, -0.643593011825094, -0.124245200484966, 1.68384205006017, -0.775855929817846, 1.09042946976556, 0.25823009182277, 0.144753153900765, -1.99193353423595, -0.71784603482801, 1.45849900483683, -0.0360555520323064, -0.114862326593766, -1.26870916988805, -0.0574287029333404, -0.566927769174591, -0.893933561862783, -1.04221961070753, -0.914864088878239, 0.489412522061945, 0.524815348898977, 0.966052649826135, -0.981297978991643, 0.568308575805983, -0.645979819492791, 0.959763572987875, 1.70309394845657, 0.668002679797359, -0.305925788134879, 0.874806964198667, 0.498927251721972, 0.851495922606427, -1.61927442904976, -0.78124076474101, -1.11243037018093, 0.207736935948367, -1.36025805767004, -1.59139609818075, 2.57128466478144, -0.927485504680428, 0.459551981743653, -0.591948089386995, -0.864343513912322, 1.31726659569933, 0.904537758374269, 0.31010359966936, -2.32568663962103, -2.19923054533115, 0.993529409411504, 0.323373834939999, 0.104483304322333, -0.835262042149236, -0.0407310349970477, 0.828833198332209, -0.828095792242395, 1.63493221510253, 0.381906417150356, 0.157246253007295, 0.651318476275427, -1.37800505363496, 0.235441506998332, 0.796904113864824, -0.66425179895083, 0.0800491585368963, -0.364949386059482, -0.145699627081077, 0.875605030665874, -1.27196452603048, 0.732335395075247, 1.3225007318864, 0.431217985818221, -1.35619024831873, 0.598993541426692, 0.432050838810773, 1.2181211949343, -1.08444796448108, 0.657389204800338, 0.129901677457492, -0.774113897758287, 0.332363300662226, 0.548726802594456, -0.774386140832934, -0.408582989494285, 2.01791453739689, 1.18174814466113, -0.71612457609854, -0.626321993899433, -1.42174579088304, 0.235624174379452, 0.601795460203899, -0.0990143406973527, -0.984010744994724, 0.564673067451461, -0.231681859020516, -0.339635075743422, 1.94887164270355, 0.203690816842979, 0.312616821331619, -1.00835866763669, 0.681913731530505, -1.09806753621391, 0.956559246359065, -0.17601731612834, -0.341726892629263, -1.14822603491505, -0.463022582708135, -0.263604935695141, -0.772098791635341, 0.452547649480384, -0.0208479797823828, 1.29175107694421, -1.26592489968541, -0.254591823189431, -1.04336675899743, -0.0431929651561342, 1.57290043316112, -1.2582251658912, 1.02372869162258, 0.559898040492341, -2.07777829365973, 0.29126513463333, -0.445140848590641, -0.393447202489372, -0.278938440798256, -1.75565175753635, 1.62221591009437, 1.20681492837293, 0.29665423973287, -0.512541814929672, -0.219095239817145, -1.06901204384159, 0.342724270228707, -0.692678396240879, -1.57683124343435, 1.38785459978446, 0.0803249640343155, 0.04238831562083, 0.00747792475475416, 0.765949161602906, -0.407108368665917, -0.102785491044407, 1.34508201529177, -1.52036117048701, 0.335915734840296, 0.601461681052205, 1.28168007212397, 0.624011815366183, -1.64229461354512, 0.608910462587142, -0.266891518581409, 0.890780890980702, -1.12443765698679, -0.334576477264026, 0.830766900423677, -2.31355979311314, -0.579762719800826, 0.58193840209483, -0.35071995402309, 0.982119854032174, 1.0207783655951, -0.336403871996279, 1.44421630119695, -1.62870523506409, 0.209320019683833, -0.0127135102649265, 1.02571348911049, 0.474792545291305, 0.588232753338384, -1.29065669548341, -0.23823500925363, -0.933381848711231, 0.13904788836684, -0.490600332546298, -0.891456625585662, -0.22005015453136, 0.572359419060849, -0.0912208098443097, -0.543631888456867, -0.678450796811009, 0.689294470720678, -0.671121793250048, -0.537067861106626, 2.18125897032589, -0.246278275892305, 0.237163248108064, -0.540648881779023, 1.48916195340793, 1.50696474895724, -0.69228180459497, 0.506093035461762, -1.91061274634435, -0.308498323059931, 0.791864856483129, -1.23595677802296, -1.18908259213371, 0.796952442986954, 0.544637169304807, -0.527539884846885, -0.0800812741709316, Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.109427447325672, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, -0.590944016006711, -0.384828874562752, -1.62180498737223, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.0527774938826198, -0.607657973242432, -1.0031038879234, 1.2573668672221, 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0.0121886461030446, -0.962439645841172, 0.242444567393309, 1.15197321171478, 1.51742041294056, -0.193603159913885, 0.0194456197928905, -0.501233595341427, -1.60863815945688, -1.81891445464763, -0.800196402559196, -0.295110315660504, -0.00094759257249616, -0.893855795889766, 0.61532688679562, 0.230163955877312, 0.766358771682672, -0.520689299988748, -1.37770197013537, -1.21674219540306, 0.366903821235228, -0.0775043851498784, -0.932450573591533, 0.630127566957426, -0.225044963997591, 0.958282033567734, -0.420864025280671, 0.528436375524047, 2.62159903950059, 1.65979764946917, 1.29456537655635, -1.07460677191658, -1.34850115368141, -1.0311916789257, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 1.16292033782413, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, 0.163423183653266, 0.930750776451752, 0.459332344538367, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.282469870623761, 0.734558507053567, 0.437928531993262, 0.163013137616148, -0.188425688499664), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, -16.960851676496, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, -5.14378880434676, -0.377248798794355, -14.5661269431648, -11.8250703353458, -2.28063445072232, 5.72149549373033, -19.053273728511, -8.70558699125535, -4.98046883853199, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... -0.614318454704846, 0.940176969708446, 0.749723315327905, 0.121873742097072, 0.752833196076928, 0.790542779168997, -1.81086612737766, 0.388187690936996, 2.0111786285113, -1.77293327633608, 0.664280314306775, 0.121429330886625, -0.257876794921838, 0.917475043219385, -0.729925278433741, 0.423513892663367, -1.38501519006899, 1.02020209179772, 0.189260872226986, 1.12465382051253, -0.436986588307582, 1.58722251830489, 1.2720907629618, -0.402979418435507, 1.51034851679161, -0.405665131214714, -1.64540069200118, 1.07834922641207, -0.40068853308856, -0.995153207695428, -0.934661998970805, 0.225627859204658, -0.450858138145045, 0.384756536106992, 0.311397998104949, -1.49721174347295, 0.747710431019417, 1.25787431624236, 0.512113885166005, -0.427436397451448, -1.05758372043297, 1.3972241267207, -0.153042322618859, -0.563884125886477, 2.33956485898188, 0.303683909008573, -2.04207465506845, -0.340941912300393, 1.98576111738062, 0.484863200034255, 0.231619997577999, 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0.528436375524047, -1.54911198056862, 1.65979764946917, -1.01861999709059, 0.136417692905443, -1.07460677191658, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 1.51706949884474, 1.02470255994038, -0.169105211356617, -1.61469611115815, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.221248384886406, -1.6827376240604, 1.79001798478017, 0.890219621027536, -1.10095930501703, -0.226136216083787, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.282469870623761, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, -1.84575738837975, -9.01558859805802, -18.3826562129212, -2.03116927639453, 6.43015965629958, -20.2249403972771, -15.249369531479, -5.58862024667344, -13.969103962324, 20.7357655158531, -2.89287244232098, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 0.202967839439172, -19.053273728511, 11.3147537290436, 6.65189162279916, -4.98046883853199, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, -0.329263458810201, 0.369730587231628, 0.422120338844796, 1.91356398362494, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, -1.62180498737223, 0.0269793216173192, 1.48556666597297, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.454665712829646, -1.0031038879234, 0.0177286742852289, 1.2573668672221, 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-14.0735629998059, -11.8250703353458, 0.202967839439172, 5.72149549373033, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, 6.65189162279916, -4.98046883853199, -10.8085590850615, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.329263458810201, 0.392596468870937, 2.14813206801029, 1.91356398362494, 0.0132449593663705, -1.19551640355375, -2.50262152979895, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, 1.48556666597297, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, -0.454665712829646, 0.0177286742852289, 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-0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, 0.136417692905443, -0.0403419720204135, -1.0311916789257, -0.0465678812137429, 1.51706949884474, -1.61469611115815, 0.635417948752758, -0.676290435218596, 0.020015945396685, -1.6827376240604, 0.146900433152128, 0.890219621027536, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.930750776451752, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.881573985203294, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, -9.01558859805802, 10.0060431194859, -18.3826562129212, -0.692632428106748, -15.249369531479, 11.1105459007604, -13.969103962324, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -11.8250703353458, -2.28063445072232, 0.202967839439172, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 6.65189162279916, -10.8085590850615, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, 0.392596468870937, 0.109427447325672, 0.369730587231628, 0.422120338844796, -1.38231290160394, -1.19551640355375, 1.40505139126812, -0.590944016006711, -0.862889448370133, -0.323378716168106, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, -0.607657973242432, -0.454665712829646, 0.0177286742852289, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 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-1.54911198056862, -0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, 1.29456537655635, 0.136417692905443, -0.0403419720204135, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 1.02470255994038, 0.837983217684359, 0.635417948752758, 1.16292033782413, -0.895997832057571, -1.42835248557666, 0.221248384886406, 0.146900433152128, 1.699931496446, 0.163423183653266, 0.349254965543424, 1.52966348111674, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, 0.734558507053567, -0.325055707435347, 0.881573985203294, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, 10.0060431194859, -16.960851676496, -10.7957550265179, 6.43015965629958, -20.2249403972771, 11.1105459007604, 5.90172525990606, -5.14378880434676, -3.1818781455726, 0.202967839439172, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, -8.70558699125535, 6.65189162279916, -10.8085590850615, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.109427447325672, 0.369730587231628, 2.14813206801029, 0.422120338844796, -1.38231290160394, 1.91356398362494, -1.19551640355375, 0.999862152281694, -0.131035380402158, -2.50262152979895, -0.384828874562752, -0.785655199467656, -0.148983535412102, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, 0.484569434497438, 0.0413028633830614, 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-0.225044963997591, -0.292483387028429, 0.528436375524047, -0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, -1.01861999709059, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, -0.169105211356617, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, -1.42835248557666, 0.221248384886406, 0.020015945396685, 0.146900433152128, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 0.930750776451752, -1.16340183424519, -0.932948424860186, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, -0.422671780695275, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -1.84575738837975, -9.01558859805802, 10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, 6.43015965629958, -20.2249403972771, -0.692632428106748, 11.1105459007604, 24.1454032132213, -5.58862024667344, -13.969103962324, -0.377248798794355, -8.68498564147923, -2.28063445072232, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, 11.3147537290436, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, 1.40505139126812, 1.32645478405243, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.408562695807195, 0.702119314562013, -0.645249759649571, -0.607657973242432, -0.454665712829646, -0.407037307483899, 1.2573668672221, 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-0.501966720876529, -0.932450573591533, 1.63322451598054, 0.57600116391318, -0.292483387028429, -0.420864025280671, -0.025696521526341, -0.342343002481559, 0.474562817860045, 1.29456537655635, 0.136417692905443, 0.621583927869213, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, 1.699931496446, -0.226136216083787, 0.349254965543424, -1.16340183424519, -1.10086936580084, 0.823778920330776, -1.71638753826073, 0.517721735919348, 0.734558507053567, -0.325055707435347, -1.13080371724134, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, 5.90172525990606, -2.89287244232098, -3.1818781455726, -8.68498564147923, -11.8250703353458, -13.6626854617305, -8.28073346614134, -9.24656062205327, -8.70558699125535, 6.65189162279916, 11.4212040365199, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.19551640355375, 0.999862152281694, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.862889448370133, 1.48556666597297, -0.148983535412102, -0.408562695807195, 0.702119314562013, -0.208164055388184, -0.407037307483899, -0.54661479412367, 0.0413028633830614, 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-0.932450573591533, 1.97692571277644, 1.63322451598054, 0.57600116391318, -0.420864025280671, 0.528436375524047, -0.025696521526341, -0.342343002481559, 0.648305848591187, 0.621583927869213, -0.738353042299165, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, -0.169105211356617, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.146900433152128, -0.0938003176542031, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.349254965543424, -1.10086936580084, -0.932948424860186, 0.823778920330776, -1.71638753826073, -1.21710943324447, -1.13080371724134, 0.657660667837481, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -1.84575738837975, -9.01558859805802, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, 11.1105459007604, 24.1454032132213, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -3.1818781455726, -11.8250703353458, -2.28063445072232, -13.6626854617305, -8.28073346614134, -12.5145663041873, 11.4212040365199, 3.83881941831794, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.19551640355375, 0.61639251913841, -2.50262152979895, 1.32645478405243, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.148983535412102, 0.193963098805273, -0.408562695807195, 0.702119314562013, 0.0527774938826198, -0.208164055388184, -0.407037307483899, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 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-2.77960446940312, 0.668556939511994, 1.12728548651946, 0.244224270569954, 0.080878138458566, -0.997344910274393, 0.242880301804018, 0.434890347048558, 1.30714178663705, 0.305998825577084, 0.854641160954447, 0.95930315223558, -0.236543470997769, 0.37721552072974, 0.277292507083997, -0.38531292702555, -0.586448471595223, -0.63451571385257, -0.0199574527351158, -1.05321209688739, 2.18920985430838, -0.863981059198544, 0.730514711728527, -0.412031369092688, 2.38639103748848, 0.327753897747732, -0.957493595106902, 0.13774154709695, 0.0121886461030446, -0.497765393683735, 0.242444567393309, 1.15197321171478, -0.105659164501549, -2.31676780108091, 1.51742041294056, 0.0965876703558167, 2.07860357115171, 0.884217413171091, -0.501233595341427, -1.60863815945688, -0.543216258798932, -0.653863831125984, -0.295110315660504, -0.00094759257249616, -1.16324482296585, -0.427437192765897, 0.230163955877312, -0.386423225090122, -0.501966720876529, -0.0775043851498784, 1.63322451598054, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.528436375524047, 2.62159903950059, -0.025696521526341, -0.342343002481559, 1.65979764946917, 0.648305848591187, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 0.837983217684359, -0.169105211356617, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.146900433152128, -1.66202468624362, 0.890219621027536, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -0.932948424860186, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.282469870623761, -1.21710943324447, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(9.51570119036855, -1.84575738837975, -10.7957550265179, -2.03116927639453, 6.43015965629958, 11.1105459007604, 8.73172424602405, -13.969103962324, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -2.28063445072232, 5.72149549373033, -13.6626854617305, -8.28073346614134, -19.053273728511, -12.5145663041873, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, -0.329263458810201, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, 1.91356398362494, 0.0132449593663705, -2.50262152979895, 0.925147932061565, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.148983535412102, 0.193963098805273, 0.702119314562013, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.454665712829646, 0.0177286742852289, 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-0.0775043851498784, 1.97692571277644, 0.630127566957426, 0.958282033567734, 0.515988379149648, 0.57600116391318, 0.528436375524047, 2.62159903950059, -0.342343002481559, 0.474562817860045, 0.648305848591187, 2.35301647902166, 0.136417692905443, -0.0403419720204135, -1.0311916789257, 0.517933563530361, 1.51706949884474, -0.169105211356617, -1.61469611115815, 1.16292033782413, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.020015945396685, -1.6827376240604, 0.890219621027536, -1.10095930501703, 0.163423183653266, 0.459332344538367, -0.706973243484188, 0.349254965543424, -0.932948424860186, -0.962403409950212, -1.71638753826073, 0.517721735919348, -1.21710943324447, -1.27198132109611, -0.325055707435347, 0.881573985203294, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, -1.84575738837975, -9.01558859805802, -16.960851676496, -10.7957550265179, -2.03116927639453, 6.43015965629958, -0.692632428106748, -15.249369531479, -13.969103962324, 20.7357655158531, -5.14378880434676, -14.5661269431648, -14.0735629998059, -3.1818781455726, -2.28063445072232, 5.72149549373033, -8.28073346614134, -9.24656062205327, -12.5145663041873, 3.14390224379052, 6.65189162279916, -10.8085590850615, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, 0.392596468870937, 0.369730587231628, 2.14813206801029, -0.0124953265399268, -1.38231290160394, -1.19551640355375, 0.999862152281694, -2.50262152979895, 0.925147932061565, 1.32645478405243, -1.62180498737223, 0.0269793216173192, -0.862889448370133, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.0527774938826198, 0.85842250305929, -0.607657973242432, -1.0031038879234, 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0.958282033567734, 0.515988379149648, 0.57600116391318, -0.420864025280671, 0.528436375524047, 2.62159903950059, 1.65979764946917, 2.35301647902166, 1.29456537655635, -1.07460677191658, 0.621583927869213, -0.738353042299165, 1.02470255994038, 0.837983217684359, -0.169105211356617, 0.635417948752758, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.221248384886406, 0.146900433152128, -0.0938003176542031, 0.890219621027536, -1.10095930501703, -0.226136216083787, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.282469870623761, -1.27198132109611, 0.734558507053567, 0.437928531993262, -1.13080371724134, 0.657660667837481), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, 10.0060431194859, -10.7957550265179, -18.3826562129212, -2.03116927639453, -20.2249403972771, 11.1105459007604, 24.1454032132213, -13.969103962324, 20.7357655158531, -2.89287244232098, -14.5661269431648, -14.0735629998059, -3.1818781455726, -11.8250703353458, -2.28063445072232, 5.72149549373033, -19.053273728511, 3.14390224379052, -8.70558699125535, -4.98046883853199, 11.4212040365199, 3.83881941831794), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.497385784376131, -0.329263458810201, 0.392596468870937, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, -1.19551640355375, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.384828874562752, 0.0269793216173192, -0.862889448370133, -0.323378716168106, -0.408562695807195, 0.702119314562013, 0.0527774938826198, -0.208164055388184, -0.607657973242432, 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1.97692571277644, 1.63322451598054, -0.225044963997591, 0.515988379149648, 0.57600116391318, -1.54911198056862, -0.025696521526341, -0.342343002481559, 1.65979764946917, 0.648305848591187, 1.29456537655635, -1.01861999709059, -1.34850115368141, 1.02470255994038, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, 0.146900433152128, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.930750776451752, -0.706973243484188, 0.349254965543424, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.282469870623761, -1.21710943324447, 0.734558507053567, -0.422671780695275, 0.163013137616148), y = c(-19.298534993808, -1.84575738837975, -9.01558859805802, 10.0060431194859, -18.3826562129212, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, 11.1105459007604, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -0.377248798794355, -14.0735629998059, -3.1818781455726, 0.202967839439172, -13.6626854617305, -8.28073346614134, -19.053273728511, -12.5145663041873, -8.70558699125535, 11.3147537290436, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 0.109427447325672, 0.369730587231628, 2.14813206801029, 0.422120338844796, -1.38231290160394, 1.91356398362494, -2.50262152979895, 0.925147932061565, 1.32645478405243, -1.62180498737223, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.323378716168106, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.484569434497438, -0.454665712829646, -1.0031038879234, 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0.202967839439172, -8.28073346614134, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 11.3147537290436, 6.65189162279916, -4.98046883853199, -10.8085590850615, 3.83881941831794), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 0.392596468870937, 0.109427447325672, 0.369730587231628, -0.0124953265399268, -1.19551640355375, -0.131035380402158, -2.50262152979895, 1.40505139126812, -0.862889448370133, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.484569434497438, -0.454665712829646, -0.407037307483899, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 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-0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, -1.01861999709059, 0.136417692905443, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.02470255994038, 0.635417948752758, 1.16292033782413, -0.895997832057571, 0.622556854177482, 0.146900433152128, 1.79001798478017, 0.890219621027536, 1.699931496446, 0.349254965543424, -1.10086936580084, -0.932948424860186, 1.52966348111674, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -0.422671780695275, -0.325055707435347, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(-19.298534993808, 10.0060431194859, -16.960851676496, -10.7957550265179, -2.03116927639453, 11.1105459007604, -5.58862024667344, -13.969103962324, 5.90172525990606, -3.1818781455726, -11.8250703353458, -2.28063445072232, 0.202967839439172, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 11.3147537290436, 6.65189162279916, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.392596468870937, 0.109427447325672, 2.14813206801029, 1.91356398362494, -1.19551640355375, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, -0.862889448370133, 1.48556666597297, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.208164055388184, -0.607657973242432, 0.484569434497438, -0.454665712829646, 0.0177286742852289, -0.54661479412367, 1.2573668672221, 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-0.025696521526341, -0.342343002481559, 0.648305848591187, 1.29456537655635, -1.01861999709059, 0.136417692905443, -0.0403419720204135, -0.738353042299165, -1.34850115368141, -1.0311916789257, 1.51706949884474, 1.02470255994038, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.020015945396685, 0.146900433152128, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, 0.349254965543424, -1.10086936580084, -0.962403409950212, 0.823778920330776, -1.71638753826073, -1.21710943324447, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.881573985203294, 0.657660667837481, 0.163013137616148, -0.188425688499664), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, 10.0060431194859, -16.960851676496, -18.3826562129212, -0.692632428106748, 11.1105459007604, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -3.1818781455726, -11.8250703353458, 5.72149549373033, -13.6626854617305, -8.28073346614134, -12.5145663041873, -8.70558699125535, 11.3147537290436, 6.65189162279916, -10.8085590850615, 3.83881941831794, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, 1.91356398362494, 0.61639251913841, -0.131035380402158, 1.40505139126812, 0.925147932061565, 0.0269793216173192, 1.48556666597297, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.607657973242432, -0.454665712829646, 0.0177286742852289, 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-0.932450573591533, 1.97692571277644, 0.515988379149648, -0.420864025280671, 0.528436375524047, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.648305848591187, 2.35301647902166, 1.29456537655635, 0.136417692905443, -0.0403419720204135, -1.34850115368141, -1.0311916789257, 0.837983217684359, -0.169105211356617, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.020015945396685, -1.66202468624362, 1.79001798478017, 1.699931496446, -1.10095930501703, -0.706973243484188, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.881573985203294, 0.163013137616148, -0.188425688499664), y = c(9.51570119036855, -1.84575738837975, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, -0.692632428106748, 8.73172424602405, -5.58862024667344, 5.90172525990606, 20.7357655158531, -14.0735629998059, -11.8250703353458, -2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -12.5145663041873, 3.14390224379052, -8.70558699125535, 6.65189162279916, -10.8085590850615, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.329263458810201, 0.109427447325672, 0.369730587231628, -0.0124953265399268, -1.38231290160394, 0.0132449593663705, 0.999862152281694, -0.131035380402158, 1.40505139126812, 0.925147932061565, -0.384828874562752, -0.862889448370133, 1.48556666597297, -0.148983535412102, 0.0527774938826198, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.607657973242432, -1.0031038879234, 0.0177286742852289, 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0.366903821235228, -0.932450573591533, 1.97692571277644, -0.225044963997591, 0.57600116391318, -0.420864025280671, 0.528436375524047, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.07460677191658, -0.0403419720204135, -0.738353042299165, -0.0465678812137429, 1.02470255994038, 0.837983217684359, -1.61469611115815, 1.16292033782413, -0.895997832057571, 0.622556854177482, 0.221248384886406, -1.6827376240604, -0.0938003176542031, 1.79001798478017, 1.699931496446, -1.10095930501703, 0.930750776451752, 0.349254965543424, -1.10086936580084, -0.932948424860186, 0.282469870623761, 0.313805041746214, -1.21710943324447, -1.27198132109611, 0.734558507053567, 0.437928531993262, 0.881573985203294, 0.657660667837481, 1.9673566235267), y = c(-19.298534993808, 9.51570119036855, -9.01558859805802, -16.960851676496, -10.7957550265179, -2.03116927639453, -20.2249403972771, -15.249369531479, 24.1454032132213, -5.58862024667344, 5.90172525990606, 20.7357655158531, -0.377248798794355, -3.1818781455726, -11.8250703353458, -2.28063445072232, -19.053273728511, -18.6044712732927, -12.5145663041873, 3.14390224379052, -8.70558699125535, -4.98046883853199, -10.8085590850615, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, 0.109427447325672, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, -0.131035380402158, 1.40505139126812, 0.925147932061565, 1.32645478405243, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, -0.323378716168106, -0.408562695807195, 0.702119314562013, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 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1.97692571277644, 1.63322451598054, 0.958282033567734, 0.515988379149648, 0.57600116391318, -0.292483387028429, -0.420864025280671, 0.528436375524047, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.0311916789257, 0.517933563530361, 1.51706949884474, 0.837983217684359, 1.16292033782413, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, 1.79001798478017, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.881573985203294, -1.13080371724134, 0.657660667837481, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, 9.51570119036855, -16.960851676496, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, -5.58862024667344, 5.90172525990606, 20.7357655158531, -2.89287244232098, -14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 0.202967839439172, -13.6626854617305, -8.28073346614134, -10.8085590850615, 11.4212040365199, 3.83881941831794, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, 0.109427447325672, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -0.131035380402158, 1.40505139126812, 0.925147932061565, -1.62180498737223, -0.785655199467656, 1.48556666597297, -0.408562695807195, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.454665712829646, -1.0031038879234, 0.0177286742852289, 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0.370771702704945, 0.227426364534435, 0.434890347048558, 1.30714178663705, 0.305998825577084, -0.0589492478228027, -0.75167137747026, 0.854641160954447, 0.71342138419062, 0.239831556919846, 0.0892870682912178, -1.82900895311526, -0.236543470997769, 0.277292507083997, 0.789249601470516, -0.63451571385257, -0.576746919364187, 0.337016813050068, 0.205398669876472, 0.730514711728527, -0.362482436128475, 1.94495988032926, 0.63408419444579, -1.0510204933252, 0.0121886461030446, -0.877320635002788, -0.962439645841172, -0.105659164501549, -2.31676780108091, 1.51742041294056, 0.23483287240135, 0.819703667929469, 0.0965876703558167, 0.202301735851574, -0.334080790368491, 0.0194456197928905, -1.1648474191218, 0.884217413171091, -1.60863815945688, -1.81891445464763, -0.295110315660504, 0.61532688679562, -0.520689299988748, -1.37770197013537, -0.386423225090122, -1.21674219540306, 0.366903821235228, -0.932450573591533, 1.97692571277644, 0.958282033567734, -0.292483387028429, -0.420864025280671, -0.025696521526341, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 0.136417692905443, -1.07460677191658, -0.0403419720204135, -0.738353042299165, -1.0311916789257, 1.51706949884474, 0.837983217684359, 1.16292033782413, 0.020015945396685, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 1.79001798478017, 1.699931496446, -1.10095930501703, 0.459332344538367, -1.16340183424519, -1.10086936580084, 0.823778920330776, -1.71638753826073, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, -0.325055707435347, 0.437928531993262, 0.881573985203294, 0.657660667837481, -0.188425688499664), y = c(1.36455146549798, 9.51570119036855, -16.960851676496, -0.692632428106748, -15.249369531479, 11.1105459007604, 24.1454032132213, -5.58862024667344, 5.90172525990606, 20.7357655158531, -14.5661269431648, -8.68498564147923, -11.8250703353458, -13.6626854617305, -8.28073346614134, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, 6.65189162279916, -4.98046883853199, -10.8085590850615, 3.83881941831794, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 2.14813206801029, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.148983535412102, -0.323378716168106, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.454665712829646, 0.0177286742852289, -0.54661479412367, 1.2573668672221, 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-0.386423225090122, -0.501966720876529, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.528436375524047, -1.54911198056862, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.136417692905443, -0.0403419720204135, -0.738353042299165, -1.34850115368141, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.676290435218596, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -0.932948424860186, 1.52966348111674, -1.71638753826073, 0.282469870623761, 0.313805041746214, -0.325055707435347, 0.881573985203294, 0.657660667837481, 0.163013137616148, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -18.3826562129212, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -2.28063445072232, 0.202967839439172, -8.28073346614134, -19.053273728511, -18.6044712732927, 6.65189162279916, -10.8085590850615, 3.83881941831794, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.329263458810201, 0.392596468870937, 0.369730587231628, 0.422120338844796, 0.0132449593663705, -1.19551640355375, 0.999862152281694, 1.40505139126812, 0.925147932061565, -1.62180498737223, -0.862889448370133, -0.785655199467656, -0.148983535412102, 0.702119314562013, 0.0527774938826198, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, -0.54661479412367, 1.2573668672221, 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1.97692571277644, 0.958282033567734, 0.57600116391318, -0.292483387028429, 0.528436375524047, -0.342343002481559, 1.65979764946917, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, -0.738353042299165, -1.34850115368141, -0.0465678812137429, 0.517933563530361, 1.02470255994038, 0.837983217684359, -1.61469611115815, 0.635417948752758, -0.895997832057571, -1.42835248557666, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 1.699931496446, -1.10095930501703, 0.459332344538367, 0.349254965543424, -1.16340183424519, -0.932948424860186, -1.71638753826073, 0.282469870623761, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, 0.657660667837481, 0.163013137616148, 1.9673566235267, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -9.01558859805802, 10.0060431194859, -10.7957550265179, 6.43015965629958, -15.249369531479, 11.1105459007604, 24.1454032132213, 5.90172525990606, 20.7357655158531, -14.5661269431648, -3.1818781455726, -8.68498564147923, -2.28063445072232, -8.28073346614134, -19.053273728511, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 3.83881941831794, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.109427447325672, 0.369730587231628, 0.422120338844796, 0.925147932061565, 1.32645478405243, -0.384828874562752, 0.0269793216173192, -0.862889448370133, -0.785655199467656, -0.148983535412102, -0.323378716168106, 0.193963098805273, 0.702119314562013, -0.068633696125817, -0.208164055388184, -0.454665712829646, -1.0031038879234, 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-0.225044963997591, 0.515988379149648, 0.57600116391318, -0.292483387028429, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.342343002481559, -0.0630130729046384, 0.648305848591187, 0.136417692905443, -1.07460677191658, 0.621583927869213, -1.0311916789257, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.895997832057571, -1.42835248557666, -1.10095930501703, -0.226136216083787, 0.930750776451752, -0.706973243484188, 0.349254965543424, -1.16340183424519, -0.932948424860186, 1.52966348111674, -0.962403409950212, -1.71638753826073, 0.313805041746214, -1.21710943324447, -0.325055707435347, 0.437928531993262, -1.13080371724134, -0.188425688499664), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -16.960851676496, -10.7957550265179, 6.43015965629958, 20.7357655158531, -2.89287244232098, -0.377248798794355, -14.0735629998059, -3.1818781455726, -8.68498564147923, -2.28063445072232, 0.202967839439172, 5.72149549373033, -8.28073346614134, -18.6044712732927, -12.5145663041873, 6.65189162279916, -4.98046883853199, 11.4212040365199, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 0.392596468870937, 0.109427447325672, 2.14813206801029, 0.422120338844796, 1.91356398362494, -1.19551640355375, 0.61639251913841, 0.999862152281694, -2.50262152979895, 0.925147932061565, -0.384828874562752, -0.862889448370133, 1.48556666597297, -0.148983535412102, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, -0.454665712829646, -0.407037307483899, 1.2573668672221, 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0.00411955595393225, -0.304650267306229, -0.0869961632143627, -0.107899567739398, -0.592237874803512, 0.147902902838497, 0.993858046561807, -0.405142058619078, -0.925323850197065, -0.361327223308411, 0.758674434722404, 0.953864685890968, 0.11266460127783, -0.547355319563283, -0.267802045073602, -0.771632925637937, -1.0060588645714, 0.758034259172733, -0.143995813355401, -1.51631232843906, -1.14677987330679, -0.294964118054214, 1.10457940662488, -1.50471101693318, -0.778744987167117, 1.46505071845893, -1.1959839313906, 0.746089592151031, -0.273330026208419, Traceback: 1: lars::lars(x, y, max.steps = q, ...) -0.726219877356453, -0.68815579619648, 0.26534320279511, 0.352994330933336, 0.86645748509619, 1.43213088383179, -0.380109854000211, 2.12774239093889, 0.220770944790666, 1.83725334282779, -0.215656868090753, -0.685642965575603, 0.9613644873087, -0.535103863211751, 0.0193083895450307, -1.85063003020911, 1.34640359819285, 0.592676381438057, 0.140459965654256, -0.807047850826692, 0.592246504112568, 0.441779498620617, -0.0203333303263762, -0.51188237796916, -0.719162267807621, -0.44261546428776, 1.33475658120376, 0.862359285853443, -0.459599974272831, -1.53819222963646, 1.31198975858631, 1.74500604075618, -1.27076552993875, -1.64124013812066, 1.18649343990526, 0.966167973123855, 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x)-0.707238083192172, -1.47929097123847, 1.79146261049735, -0.42775948091468, -0.0213283087386204, -1.36712421585206, 0.920760639951842, 0.82598564453883, 0.204643502786668, 1.16261530769894, -0.718897110330627, 0.838038549723971, -1.86513485200501, -0.212205662205232, 2.01502902445787, -1.4527806780527, 1.55273034482007, 1.05117207692675, 0.599590358669188, -0.0797284635067393, cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.329263458810201, 0.369730587231628, 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-26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... -1.27321228373902, 1.22771247939222, -1.95656024830413, -0.114589243891423, -0.551993534540377, -1.23646898243501, 2.35402960134994, 0.151406785428095, -0.479971525262254, 0.0854164636503481, 0.322197997257779, 0.348304925503423, -0.504023799871338, 0.599656611071272, -0.549113925473052, 0.493158874128498, -0.744932126852068, 0.455513963951006, 1.48563275261679, -0.0370793294310512, -1.02347124664612, 0.3481438588216, 1.61812649551926, 0.830250527821652, 0.746608697205251, 2.08831584388248, -1.22794309250733, -0.209293796480497, -0.832968171638863, 1.13638620449469, 1.06247648213889, -1.32449466119794, 0.323599247223307, 0.452798033264669, 0.394125615759533, 0.56205971344019, -1.6250926416132, 1.16989644607993, 1.78408445960479, -1.65751636169196, -0.505084998612529, -0.404278041089472, -1.15023095739664, -0.271916092427478, 0.466796982359802, 0.217854480945949, -0.840680959234418, -1.65392797636925, 0.546328171156194, -0.351252277166562, 1.75159219668155, 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0.515988379149648, -0.292483387028429, -1.54911198056862, -0.025696521526341, -0.342343002481559, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, -1.07460677191658, 0.621583927869213, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 1.02470255994038, 0.837983217684359, -1.61469611115815, -0.895997832057571, -0.676290435218596, -1.42835248557666, 0.221248384886406, 0.020015945396685, 1.699931496446, -0.226136216083787, 0.930750776451752, -0.706973243484188, -1.16340183424519, 1.52966348111674, 0.823778920330776, -1.71638753826073, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, 0.437928531993262, -1.13080371724134, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(-19.298534993808, 9.51570119036855, -9.01558859805802, -10.7957550265179, -18.3826562129212, 6.43015965629958, -20.2249403972771, -0.692632428106748, 5.90172525990606, -2.89287244232098, -0.377248798794355, -14.0735629998059, -8.68498564147923, 0.202967839439172, -13.6626854617305, -8.28073346614134, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, -4.98046883853199, 11.4212040365199, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, 0.392596468870937, 0.369730587231628, -0.0124953265399268, 0.0132449593663705, -1.19551640355375, 0.999862152281694, -2.50262152979895, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, -0.148983535412102, -0.323378716168106, 0.702119314562013, 0.0527774938826198, -0.645249759649571, -0.607657973242432, 0.484569434497438, -1.0031038879234, 0.0177286742852289, 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0.958282033567734, 0.515988379149648, 0.57600116391318, -0.292483387028429, 0.528436375524047, -1.54911198056862, -0.342343002481559, 1.65979764946917, 0.474562817860045, 1.29456537655635, -1.01861999709059, -1.07460677191658, -0.0403419720204135, -0.738353042299165, -0.0465678812137429, 1.51706949884474, 0.837983217684359, -0.169105211356617, 0.635417948752758, -0.895997832057571, 0.622556854177482, -1.6827376240604, 0.146900433152128, -0.0938003176542031, 0.890219621027536, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.16340183424519, -0.932948424860186, 1.52966348111674, -1.71638753826073, 0.282469870623761, 0.517721735919348, 0.734558507053567, -0.422671780695275, 0.437928531993262, 0.881573985203294, 0.657660667837481, 1.9673566235267), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, 10.0060431194859, -10.7957550265179, -2.03116927639453, -15.249369531479, 11.1105459007604, 24.1454032132213, -13.969103962324, -14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, -2.28063445072232, 0.202967839439172, -8.28073346614134, -19.053273728511, -9.24656062205327, -8.70558699125535, 11.3147537290436, -4.98046883853199, -10.8085590850615, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.422120338844796, -1.19551640355375, 0.999862152281694, 1.40505139126812, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.484569434497438, -0.454665712829646, -1.0031038879234, -0.54661479412367, 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1.97692571277644, 0.630127566957426, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.57600116391318, -0.292483387028429, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.738353042299165, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 0.837983217684359, -0.169105211356617, -1.61469611115815, -1.42835248557666, 0.146900433152128, -0.0938003176542031, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.16340183424519, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.657660667837481, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, -9.01558859805802, 6.43015965629958, 11.1105459007604, 24.1454032132213, 5.90172525990606, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 11.3147537290436, 6.65189162279916, -4.98046883853199, 3.83881941831794, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.109427447325672, 0.369730587231628, 0.422120338844796, -1.38231290160394, -1.19551640355375, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.384828874562752, -0.785655199467656, -0.323378716168106, -0.408562695807195, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.454665712829646, 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0.766358771682672, -0.386423225090122, -1.21674219540306, 0.366903821235228, -0.0775043851498784, -0.932450573591533, 1.63322451598054, -0.225044963997591, -0.292483387028429, -1.54911198056862, -0.025696521526341, -0.0630130729046384, 0.648305848591187, 2.35301647902166, 0.136417692905443, -0.738353042299165, -0.0465678812137429, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.895997832057571, -1.42835248557666, 0.221248384886406, 0.146900433152128, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.930750776451752, -1.16340183424519, 1.52966348111674, 0.823778920330776, 0.313805041746214, -1.21710943324447, -1.27198132109611, -0.325055707435347, 0.657660667837481, 1.9673566235267), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -16.960851676496, -10.7957550265179, 6.43015965629958, -20.2249403972771, 11.1105459007604, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, -2.89287244232098, -0.377248798794355, -8.68498564147923, 0.202967839439172, -13.6626854617305, -18.6044712732927, -12.5145663041873, 3.14390224379052, 6.65189162279916, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 0.109427447325672, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.19551640355375, -0.131035380402158, 1.40505139126812, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, 1.48556666597297, -0.323378716168106, 0.193963098805273, 0.702119314562013, -0.068633696125817, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, -0.407037307483899, 1.2573668672221, 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1.63493221510253, 0.157246253007295, 0.808194590414432, -2.48475394774391, 0.103512644477573, 0.228559570091728, 0.299060095168026, -1.37800505363496, 0.235441506998332, 0.00634435910380221, -0.66425179895083, 0.0800491585368963, -1.20916844037499, -0.145699627081077, -1.10235691902448, 1.3225007318864, 0.431217985818221, -1.35619024831873, 0.34210085135816, 1.2181211949343, -0.288821163466886, 0.657389204800338, 0.512753628663067, -0.98039607656313, -1.30349135768482, 0.548726802594456, -0.408582989494285, -1.194489549578, -0.632485486686934, 1.21159054279193, 2.88309083045678, -0.865158280590732, 1.18174814466113, -0.71612457609854, 1.07585233980449, -1.42174579088304, 0.235624174379452, -1.2127004427251, -0.0990143406973527, 1.14304944253704, -0.339635075743422, 1.94887164270355, 0.203690816842979, -0.961312844883796, 0.681913731530505, 1.71599274641314, 0.956559246359065, 0.0920034976750936, 0.338751995885726, -0.296271343246446, -0.463022582708135, -0.772098791635341, 0.835943863058026, -0.384179248666516, 0.478523809800335, 1.39511831934529, 1.31013072317299, -0.0208479797823828, 1.29175107694421, -0.232411194405642, -0.254591823189431, -1.04336675899743, 1.00219901677227, 1.57290043316112, -0.764107214577017, -2.07777829365973, 0.29126513463333, -0.445140848590641, -0.352579249738033, -1.75565175753635, -1.2153511141215, 1.20681492837293, -0.189666356911934, -0.36864614813316, 0.528096091163241, -1.06901204384159, -0.692678396240879, 0.521037322117474, -0.901161384707652, -0.192160871650321, 2.23855131237509, 0.85874682796355, 1.38785459978446, 0.0803249640343155, -1.35402328906193, 0.00747792475475416, 0.765949161602906, -0.0851428214163169, -0.102785491044407, -1.56749692247744, 0.601461681052205, 1.28168007212397, 0.624011815366183, 0.953755702693086, -0.266891518581409, 0.890510287656874, -1.12443765698679, 0.327134191896039, -0.784332726204158, -0.1035762628776, -0.579762719800826, -0.35071995402309, 1.34336110670632, 0.217556428980455, -0.0481667725892465, -1.27513419700247, -1.54419414234617, 1.0207783655951, -0.336403871996279, 0.559657625735159, -1.62870523506409, 0.209320019683833, 0.669191662865946, 1.02571348911049, 2.80179575264111, -0.23823500925363, -0.933381848711231, 0.13904788836684, -0.922782390724156, if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... -0.22005015453136, 1.54940194556297, -0.0912208098443097, -0.501028329465934, -0.454089941079792, 0.329336860707804, -0.671121793250048, 2.18125897032589, 1.12676326595363, -0.423844725212059, 0.637941686268164, 0.842778938666962, 1.13169149756215, 0.237163248108064, -0.540648881779023, -0.853846591784925, 1.50696474895724, -0.69228180459497, -0.0665941810579909, -1.91061274634435, 0.96700410804125, -1.18908259213371, 0.796952442986954, 0.544637169304807, 1.27225548832147, -0.164160832594105, -0.902582157487106, -0.228075929927684, 0.217112738524928, 0.648055668131202, 0.654409808621487, 1.38408179439879, 0.207012791126179, 0.751231896666087, -1.68038882142955, 0.253410677712235, -0.327418219369948, 0.528071775433953, -1.09593987951768, 1.70156683831477, 1.15508236841929, -0.470994856574257, -0.13701322642698, -0.36097119549572, -0.614318454704846, -0.754788009304955, 0.752833196076928, 0.790542779168997, -1.81086612737766, 0.652352523121551, -1.77293327633608, 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-0.586448471595223, 0.789249601470516, -0.576746919364187, 0.494235979318938, 2.18920985430838, -0.863981059198544, 0.730514711728527, 1.94495988032926, 0.63408419444579, -1.0510204933252, -0.957493595106902, 0.13774154709695, 0.0121886461030446, -0.962439645841172, -0.624590280144141, 1.15197321171478, -2.31676780108091, 0.23483287240135, 0.202301735851574, -0.193603159913885, 0.89927644551979, -0.334080790368491, 2.07860357115171, -0.501233595341427, -1.60863815945688, -0.653863831125984, -1.81891445464763, 0.61532688679562, -0.969332499364285, -0.427437192765897, 0.230163955877312, -0.386423225090122, 0.366903821235228, -0.932450573591533, 1.97692571277644, 0.630127566957426, -0.225044963997591, 0.958282033567734, -0.420864025280671, -1.54911198056862, 2.62159903950059, -0.342343002481559, -0.0630130729046384, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, 0.621583927869213, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.51706949884474, 1.16292033782413, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.146900433152128, 1.79001798478017, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, -1.10086936580084, 1.52966348111674, -0.962403409950212, -1.71638753826073, 0.313805041746214, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, -1.13080371724134, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, -16.960851676496, -18.3826562129212, -2.03116927639453, 6.43015965629958, 11.1105459007604, -5.58862024667344, 5.90172525990606, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, -11.8250703353458, 0.202967839439172, 5.72149549373033, -8.28073346614134, -18.6044712732927, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, 11.4212040365199, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.329263458810201, 2.14813206801029, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -2.50262152979895, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.862889448370133, -0.785655199467656, 1.48556666597297, 0.193963098805273, -0.645249759649571, -0.208164055388184, -0.607657973242432, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 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-0.932450573591533, 1.97692571277644, 1.63322451598054, 0.57600116391318, -0.292483387028429, -0.420864025280671, 2.62159903950059, 0.474562817860045, 0.648305848591187, 1.29456537655635, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -0.0465678812137429, 1.51706949884474, 1.02470255994038, 0.837983217684359, -1.61469611115815, -0.676290435218596, 0.020015945396685, -1.6827376240604, 0.146900433152128, -1.66202468624362, 0.890219621027536, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.962403409950212, 0.517721735919348, -1.21710943324447, 0.734558507053567, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -9.01558859805802, -18.3826562129212, -0.692632428106748, -15.249369531479, 11.1105459007604, 8.73172424602405, -13.969103962324, 5.90172525990606, 20.7357655158531, -2.89287244232098, -3.1818781455726, -8.68498564147923, -11.8250703353458, 5.72149549373033, -9.24656062205327, -12.5145663041873, -8.70558699125535, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, 0.109427447325672, 0.369730587231628, 2.14813206801029, 1.91356398362494, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, -1.62180498737223, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.0527774938826198, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 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0.57600116391318, -0.292483387028429, -0.420864025280671, 0.528436375524047, 2.62159903950059, 1.65979764946917, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.0311916789257, 0.517933563530361, 1.02470255994038, 0.837983217684359, -0.169105211356617, 1.16292033782413, -0.895997832057571, -0.676290435218596, 0.020015945396685, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, 0.459332344538367, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.932948424860186, -0.962403409950212, 0.282469870623761, 0.881573985203294, -1.13080371724134, 0.657660667837481, -0.188425688499664, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -1.84575738837975, -16.960851676496, -10.7957550265179, -18.3826562129212, -0.692632428106748, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, -14.5661269431648, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 5.72149549373033, -19.053273728511, -10.8085590850615, 11.4212040365199, 3.83881941831794, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, 0.392596468870937, 0.369730587231628, 2.14813206801029, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.999862152281694, 0.925147932061565, 0.0269793216173192, -0.785655199467656, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.645249759649571, -0.454665712829646, -0.407037307483899, -0.54661479412367, 1.2573668672221, 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1.97692571277644, 0.515988379149648, -0.292483387028429, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.025696521526341, -0.342343002481559, 0.474562817860045, 0.136417692905443, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.837983217684359, -0.169105211356617, 0.635417948752758, -0.895997832057571, -0.676290435218596, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, -0.0938003176542031, -1.10095930501703, -0.706973243484188, -1.16340183424519, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.517721735919348, -0.325055707435347, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(9.51570119036855, -1.84575738837975, 10.0060431194859, -10.7957550265179, -18.3826562129212, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 24.1454032132213, 20.7357655158531, -14.0735629998059, -8.68498564147923, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -8.28073346614134, -9.24656062205327, 6.65189162279916, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(0.392596468870937, 0.109427447325672, 0.369730587231628, 2.14813206801029, 0.422120338844796, 0.0132449593663705, -1.19551640355375, 0.61639251913841, 0.999862152281694, 1.32645478405243, -0.384828874562752, 0.0269793216173192, -0.862889448370133, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.193963098805273, 0.702119314562013, -0.208164055388184, 0.85842250305929, 0.484569434497438, -1.0031038879234, 0.0177286742852289, 1.2573668672221, 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0.57600116391318, -0.420864025280671, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.342343002481559, 0.648305848591187, 2.35301647902166, -1.01861999709059, -1.07460677191658, -0.0403419720204135, -1.34850115368141, 0.517933563530361, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, -1.42835248557666, -1.6827376240604, 0.146900433152128, -1.66202468624362, -0.0938003176542031, -0.226136216083787, 0.930750776451752, -0.706973243484188, 0.349254965543424, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, -1.71638753826073, -1.21710943324447, -1.27198132109611, -0.422671780695275, 0.437928531993262, 0.881573985203294, 0.163013137616148, -0.0921443668266886), y = c(10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, 6.43015965629958, -15.249369531479, 11.1105459007604, 8.73172424602405, 24.1454032132213, -2.89287244232098, -0.377248798794355, -14.0735629998059, -3.1818781455726, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -8.28073346614134, -12.5145663041873, 3.14390224379052, 11.3147537290436, -4.98046883853199, -10.8085590850615, -26.8153800228268, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.369730587231628, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -0.590944016006711, 0.0269793216173192, 1.48556666597297, -0.323378716168106, 0.0527774938826198, -0.068633696125817, -0.208164055388184, -0.607657973242432, 0.484569434497438, -1.0031038879234, 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0.230163955877312, 0.766358771682672, -0.520689299988748, -1.37770197013537, -0.501966720876529, -1.21674219540306, 0.630127566957426, 0.515988379149648, -0.420864025280671, -1.54911198056862, 1.65979764946917, -0.0630130729046384, 0.648305848591187, 1.29456537655635, -1.01861999709059, -1.07460677191658, 0.621583927869213, -0.0465678812137429, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.895997832057571, -1.42835248557666, 0.221248384886406, 0.020015945396685, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 0.163423183653266, -0.706973243484188, -1.10086936580084, 1.52966348111674, 0.282469870623761, 0.313805041746214, -1.21710943324447, 0.734558507053567, -0.422671780695275, 0.437928531993262, -1.13080371724134, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -10.7957550265179, 6.43015965629958, -20.2249403972771, -0.692632428106748, -15.249369531479, 8.73172424602405, 24.1454032132213, -5.14378880434676, -14.0735629998059, -11.8250703353458, 0.202967839439172, -19.053273728511, -18.6044712732927, -12.5145663041873, -8.70558699125535, 11.3147537290436, -4.98046883853199, 11.4212040365199, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.109427447325672, 0.369730587231628, 2.14813206801029, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, -1.19551640355375, 0.61639251913841, -0.131035380402158, -2.50262152979895, 1.32645478405243, -0.384828874562752, -0.862889448370133, 1.48556666597297, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.645249759649571, 0.85842250305929, 1.06772950730813, 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-0.501966720876529, 0.366903821235228, -0.0775043851498784, 1.63322451598054, -0.225044963997591, 0.57600116391318, -0.420864025280671, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 2.35301647902166, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 1.02470255994038, -1.61469611115815, 1.16292033782413, -0.895997832057571, -0.676290435218596, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, 0.146900433152128, -1.66202468624362, 1.79001798478017, 0.890219621027536, -0.226136216083787, 0.930750776451752, 0.349254965543424, -1.10086936580084, -0.962403409950212, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.27198132109611, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, -16.960851676496, -10.7957550265179, -18.3826562129212, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, 11.1105459007604, 8.73172424602405, -5.58862024667344, -13.969103962324, -2.89287244232098, -0.377248798794355, -3.1818781455726, -11.8250703353458, 5.72149549373033, -19.053273728511, -18.6044712732927, -9.24656062205327, 3.14390224379052, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.329263458810201, 0.369730587231628, -1.38231290160394, -1.19551640355375, -0.131035380402158, -2.50262152979895, 1.40505139126812, 1.32645478405243, -0.862889448370133, -0.323378716168106, 0.702119314562013, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, -0.454665712829646, -1.0031038879234, -0.407037307483899, 1.2573668672221, 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0.57600116391318, -1.54911198056862, -0.342343002481559, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, 0.136417692905443, -1.07460677191658, 0.621583927869213, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.02470255994038, 0.837983217684359, -1.61469611115815, -0.895997832057571, 0.221248384886406, 0.146900433152128, 1.79001798478017, 0.890219621027536, 1.699931496446, -0.226136216083787, 0.349254965543424, 1.52966348111674, -1.71638753826073, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.437928531993262, -1.13080371724134, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -9.01558859805802, -10.7957550265179, -20.2249403972771, 11.1105459007604, -5.58862024667344, -13.969103962324, 5.90172525990606, -2.89287244232098, -3.1818781455726, 0.202967839439172, -8.28073346614134, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, 6.65189162279916, -4.98046883853199, 11.4212040365199, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, -0.329263458810201, 0.392596468870937, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, 0.999862152281694, -0.131035380402158, 0.925147932061565, -0.590944016006711, -0.384828874562752, -0.785655199467656, -0.148983535412102, -0.323378716168106, -0.408562695807195, -0.208164055388184, 0.85842250305929, -0.607657973242432, -1.0031038879234, 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-1.54376344735948, 1.01990058898456, 1.56651989517544, -1.07767435276103, 0.668556939511994, 1.12728548651946, 0.370771702704945, -0.997344910274393, 2.03911167526373, 0.434890347048558, 0.854641160954447, 0.71342138419062, -1.47450409965539, 0.0892870682912178, -0.236543470997769, 0.277292507083997, 0.789249601470516, -0.0199574527351158, 0.604843671560403, -1.53684492270274, -0.576746919364187, -1.05321209688739, 2.18920985430838, -0.863981059198544, 0.372595121850278, 0.337016813050068, -0.362482436128475, 1.94495988032926, -1.0510204933252, -0.957493595106902, 0.13774154709695, -0.877320635002788, 0.242444567393309, -0.624590280144141, -0.105659164501549, 0.0965876703558167, 0.202301735851574, -0.193603159913885, 0.0194456197928905, 0.884217413171091, -1.60863815945688, -1.81891445464763, -0.00094759257249616, -0.893855795889766, 0.473735318832432, 0.61532688679562, -1.16324482296585, -0.427437192765897, 0.230163955877312, 0.766358771682672, -0.520689299988748, -1.21674219540306, 0.366903821235228, 1.97692571277644, 0.630127566957426, -0.225044963997591, -0.292483387028429, 0.528436375524047, -1.54911198056862, -0.025696521526341, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.07460677191658, -0.738353042299165, -1.0311916789257, 1.51706949884474, -0.169105211356617, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, -0.0938003176542031, 1.79001798478017, -1.10095930501703, 0.163423183653266, 0.930750776451752, -1.16340183424519, -0.932948424860186, 1.52966348111674, 0.823778920330776, -1.21710943324447, -1.27198132109611, 0.734558507053567, 0.437928531993262, 0.657660667837481, -0.188425688499664), y = c(1.36455146549798, -1.84575738837975, -9.01558859805802, 10.0060431194859, -16.960851676496, -10.7957550265179, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, 24.1454032132213, -5.58862024667344, 20.7357655158531, -5.14378880434676, -0.377248798794355, -8.68498564147923, -2.28063445072232, 0.202967839439172, -13.6626854617305, -12.5145663041873, 3.14390224379052, -8.70558699125535, -4.98046883853199, 3.83881941831794, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.497385784376131, -0.329263458810201, 0.369730587231628, 1.91356398362494, -1.19551640355375, 0.61639251913841, 0.999862152281694, -0.131035380402158, 1.40505139126812, 0.925147932061565, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.193963098805273, 0.702119314562013, -0.068633696125817, -0.645249759649571, 0.484569434497438, -0.454665712829646, -1.0031038879234, -0.407037307483899, -0.54661479412367, 1.2573668672221, 1.06772950730813, 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-0.342343002481559, -0.0630130729046384, 0.474562817860045, -1.01861999709059, 0.136417692905443, -1.07460677191658, 0.621583927869213, -0.738353042299165, -1.34850115368141, -0.0465678812137429, 0.517933563530361, -0.169105211356617, -1.61469611115815, -0.895997832057571, 0.020015945396685, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 1.699931496446, -1.10095930501703, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, -1.71638753826073, 0.313805041746214, 0.517721735919348, -0.422671780695275, -0.325055707435347, 0.437928531993262, -1.13080371724134, 0.657660667837481, 0.163013137616148, 1.9673566235267, -0.0921443668266886), y = c(-1.84575738837975, -9.01558859805802, -10.7957550265179, -0.692632428106748, 11.1105459007604, 8.73172424602405, 24.1454032132213, -5.58862024667344, 5.90172525990606, 20.7357655158531, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -8.28073346614134, -18.6044712732927, -9.24656062205327, 11.3147537290436, 6.65189162279916, -4.98046883853199, 11.4212040365199, 3.83881941831794, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.329263458810201, 0.369730587231628, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, 0.0269793216173192, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.0527774938826198, -0.068633696125817, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.454665712829646, -0.54661479412367, 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0.515988379149648, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.025696521526341, 1.65979764946917, -0.0630130729046384, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.136417692905443, -0.738353042299165, -1.0311916789257, -0.0465678812137429, 1.51706949884474, -1.61469611115815, -0.895997832057571, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.930750776451752, -0.706973243484188, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.282469870623761, 0.313805041746214, -1.27198132109611, 0.734558507053567, -0.422671780695275, -0.325055707435347, 0.657660667837481, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, -9.01558859805802, -10.7957550265179, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -14.0735629998059, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -19.053273728511, -18.6044712732927, 3.14390224379052, -8.70558699125535, 11.3147537290436, 6.65189162279916, 3.83881941831794, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.329263458810201, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 1.40505139126812, 0.925147932061565, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.148983535412102, 0.193963098805273, -0.645249759649571, 0.85842250305929, -0.607657973242432, 0.484569434497438, 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-1.21674219540306, 0.366903821235228, -0.0775043851498784, -0.932450573591533, 1.97692571277644, 0.630127566957426, 0.958282033567734, 0.515988379149648, 0.57600116391318, 0.528436375524047, 2.62159903950059, 0.474562817860045, 2.35301647902166, 1.29456537655635, -1.01861999709059, -0.0465678812137429, 0.517933563530361, 1.02470255994038, 0.837983217684359, -1.61469611115815, -0.676290435218596, 0.622556854177482, 0.221248384886406, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.459332344538367, -0.706973243484188, 0.349254965543424, -0.932948424860186, -0.962403409950212, 0.517721735919348, -1.27198132109611, 0.734558507053567, -0.422671780695275, 1.9673566235267, -0.0921443668266886), y = c(-19.298534993808, 9.51570119036855, -9.01558859805802, -18.3826562129212, -2.03116927639453, -20.2249403972771, -15.249369531479, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 5.90172525990606, 20.7357655158531, -5.14378880434676, -14.5661269431648, -14.0735629998059, -3.1818781455726, -2.28063445072232, 5.72149549373033, -9.24656062205327, 3.14390224379052, -8.70558699125535, 11.3147537290436, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -0.497385784376131, -0.329263458810201, 0.422120338844796, 1.91356398362494, 0.0132449593663705, -1.19551640355375, 0.61639251913841, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, -0.323378716168106, -0.408562695807195, -0.645249759649571, -0.208164055388184, 0.85842250305929, 0.484569434497438, -0.454665712829646, -1.0031038879234, -0.407037307483899, 0.0413028633830614, 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0.202967839439172, -13.6626854617305, -9.24656062205327, -12.5145663041873, 3.14390224379052, 11.3147537290436, 6.65189162279916, -4.98046883853199, 11.4212040365199, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.497385784376131, 0.109427447325672, 2.14813206801029, 0.422120338844796, -1.38231290160394, 0.999862152281694, -0.131035380402158, 1.32645478405243, -0.862889448370133, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.068633696125817, 0.85842250305929, -0.607657973242432, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 1.2573668672221, 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0.148275158468447, -1.97054755006972, 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept")-0.00526648610233058, -1.1886565067554, -0.092685651991519, -0.652786724556637, -0.825187691363217, -0.893557154514444, -0.622990213265683, -0.838248759208756, -0.590870397472855, 1.94679822709445, 0.751227711105572, -0.57627023814038, 0.259373938990219, -1.22705507960633, -2.06555989785115, 0.378679371619813, 0.404005228709566, -0.313573478073069, -0.236440953341045, -1.1674776360952, 0.33338028683828, 0.924086128597628, 0.399129869487298, -0.139864720002518, 2.43462298537788, -1.74413189928409, -1.79136594563791, 0.485438286305726, -0.734065810830261, 0.0771790278786147, -1.28323023886855, -0.484828379249996, 0.107349506015691, 0.648789019320936, -1.26868903335698, 1.58004207564748, 0.108769164450968, 1.10694491097889, 1.56653635132978, 1.01660427453069, x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) {-1.42423230866411, -0.640907198036754, -0.154760951619354, 0.266298728909332, -0.850961697085845, 0.290820351600924, -1.86306029341518, -1.1051044062478, -0.716551795185535, -1.81360165335921, 0.335978656530224, 0.439830622105423, 0.567887057383616, -0.904152693469811, -0.412353360227131, 0.573258494094754, -1.05564212572044, -0.94235312205509, 1.44043344532587, -0.992920413031999, -1.73788844787425, 0.360912704999748, 0.998296498651216, 1.85041946756111, -0.785322781461599, 1.4624299298861, -1.73877155644682, 0.100227198575195, idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -1.44153947558416, 0.254242708491493, 0.455044902758033, -0.912854706120467, 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0.71342138419062, -1.47450409965539, 0.239831556919846, -1.82900895311526, 0.95930315223558, 0.277292507083997, -0.38531292702555, -0.586448471595223, 0.789249601470516, -1.2959878461407, -0.63451571385257, -0.0199574527351158, -1.05321209688739, 0.494235979318938, 0.372595121850278, 0.337016813050068, -0.412031369092688, 1.94495988032926, -1.0510204933252, -0.497765393683735, -0.962439645841172, 0.242444567393309, -0.624590280144141, 1.15197321171478, -0.105659164501549, 0.202301735851574, -0.193603159913885, -0.334080790368491, -1.1648474191218, 2.07860357115171, -1.60863815945688, -0.543216258798932, -0.653863831125984, -1.81891445464763, -0.800196402559196, -0.295110315660504, -0.00094759257249616, -1.16324482296585, -0.969332499364285, 0.766358771682672, -0.520689299988748, -0.501966720876529, 0.366903821235228, 1.97692571277644, 0.515988379149648, -0.420864025280671, 0.528436375524047, -1.54911198056862, 2.62159903950059, -0.025696521526341, 2.35301647902166, 1.29456537655635, 0.136417692905443, -0.0403419720204135, 0.621583927869213, -1.0311916789257, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, -0.895997832057571, -0.676290435218596, 0.221248384886406, 0.020015945396685, -1.66202468624362, 1.79001798478017, -1.10095930501703, -0.706973243484188, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.881573985203294, -1.13080371724134, -0.188425688499664, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, -10.7957550265179, -18.3826562129212, -20.2249403972771, -0.692632428106748, 8.73172424602405, -5.58862024667344, 20.7357655158531, -14.0735629998059, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, 3.14390224379052, -8.70558699125535, 6.65189162279916, -10.8085590850615, 11.4212040365199, -13.5763482787142, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 0.996865748186635, 1.43005731943988, -0.885308643824836, 0.876219821338083, 0.951553221249971, -0.830895075593459, 0.527992117350232, 1.02823894453776, -0.854377362277384, -0.601760325921846, 0.799094255902258, 0.303185982456661, -0.868235892092196, -0.814599036350038, -0.139919527497711, 0.178706390791625, 0.436670304108223, -1.10786071385686, -0.771604354363842, -0.161694172889406, 0.647138171760237, -0.699392855029327, -0.114295753449894, -1.08588719926775, 0.588697219445158, -0.0946708364805292, 1.91365208293016, -1.55159875405862, -0.521247556666949, 2.49491162579187, 0.549185664935393, 0.0769995718373915, 0.34544269596008, -1.00197625754115, 0.930408013811078, -0.580735887488398, -0.642081555862857, 1.14016092776365, 0.75193103378015, -0.455721485910631, -1.0660779785578, -1.7338170185397, -0.714066599746853, -1.58558840947193, 0.867850648757641, -0.0733090748665941, 0.561011996036915, 0.165812408350231, -0.58517796360405, 0.136700326361543, 0.225693200887736, 1.21832021886176, -0.468782960983601, -0.0147988291020884, -1.74764739777243, -0.204775659658873, -1.24395134195326, 0.34207491251136, 1.34031459540544, -0.860990124922161, 0.159705269650765, 0.372158545762804, 1.36031423140918, -2.1643555594249, -1.97411969007339, 0.24835080047862, -2.43848659905332, -0.476133582351592, -0.598077735552944, 0.594251400257704, -0.825836605484205, 1.55740355779554, 0.179051441609055, 0.630072691057437, -0.419334563152042, 0.450483251287014, 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 1.15528674372704, -0.150022176746076, 0.724444888715293, -1.16530879815969, 0.468471288193878, -0.0953210937176637, 0.328971732009157, -1.3383631861195, 0.390088436750155, -0.954829474952168, -1.3266662244062, 0.616264585306338, -1.23775329319969, -0.171145603822052, -0.0973731130097955, -1.94322847712243, -1.75633209676299, 0.964635007815378, 0.216273759525801, 0.952042681491571, 1.37174526197094, -1.0091726473341, 1.25455624121461, 1.83479721857757, 0.581215054716824, 0.519660682005385, -0.168199806505522, 1.02447586964155, -1.23128971807639, 0.78724289278174, 1.45530117151206, 0.852203906899858, -0.526904428547109, -1.0420274760605, -0.175112247800405, -0.298882247686032, -0.670518728938889, -0.957844129826332, 2.0078318976993, -0.0930772774926232, -0.608843218692516, -1.08070116898136, 0.0105766953425594, 0.199558993374725, 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))1.0203404422874, -1.47622878133886, -1.27298691683397, 0.1857979612641, 1.24322293609649, -0.289100262800992, 1.1444398064579, -0.0190468069820814, 0.123752740811243, 0.498717978156026, 0.201283233900343, 0.914991897050412, -0.298298767735345, 1.19753374916521, -1.13765484408097, -0.459118064594459, -0.270767637591513, -1.16910686135896, -0.77549572120226, -0.433012284319501, -0.1472760568164, 0.296617293704326, -0.286288248970691, -1.09581281012124, 2.03831685368199, -1.13797915819545, 1.4649722623457, -0.258606588368614, 0.499179571035113, 1.59258187147317, -2.49849434499426, 0.446539754956348, -0.511141437146549, 0.251680260468209, 0.685078606093958, 0.386636981029329, -0.467500266315661, -0.65093283459914, -1.10971027930252, 0.45673400770591, 0.953182200821971, -1.86427134329678, -0.491501476693847, 1.13654962938874, -1.12773833387768, 0.37395623620442, 0.628061903690933, -0.639469403456174, -0.110754369843127, 0.274821332526394, 0.768794099503736, -0.208884948538895, 0.0591911647416756, 0.919097679778851, 0.269577710946761, 2.49545485826846, 0.178788754753366, -0.711365210931746, 0.194969171509538, -0.0425743751783149, 1.56583188384162, -0.465227618942353, -0.893707110261742, 0.274369332247539, -1.3150520924311, -1.07052058133212, 1.52502656395597, 0.693134006720214, -0.1383589467507, -1.29537787618629, -0.840229192719881, 0.227825929716798, -0.255029345431023, -1.18042202427071, -1.65050240787906, -0.0391141986822905, 0.205485742324481, 1.26048829801933, 0.986774212903689, -1.74921017024213, }) 16: try(eval(expr, env), silent = TRUE) 17: -0.895703191327201, 2.07516167491766, -2.15016622674986, -0.883013082765672, -0.259739959273536, -0.735537301238385, 1.30699937676454, -0.9333609533163, 1.78243076732463, -0.263637608117051, 0.272026308098386, 0.40185377171377, -0.608840447984745, -0.00498993103129966, 1.13553871120829, 1.79307913070107, 0.85347764439938, 0.333828610453217, -0.023739658095817, -1.57724610026564, 0.0541589483564564, 0.422221994851042, -1.02326899404471, 0.837853089274507, 1.27865218285524, -0.496491543782788, -0.321901010404132, -0.905921990539242, -0.818841253258252, -2.2250322137227, 0.457972269293382, -0.771593282900446, -0.470165706397713, 0.410071275994303, 2.36044341150475, -0.255172909324975, -0.548228339755434, -1.27605078617103, 0.557368186420344, 1.1232614794102, -0.305209381667569, 1.10230737401532, -1.09969668114057, 0.0114574369486139, 2.16703355218171, 0.131674260530369, -1.73445329086843, -0.299461434162918, 0.81358297359161, 0.95830473457789, -0.701123648238121, -0.181841833351149, 0.70283157304654, -0.931916105369746, -1.18236495178736, -0.602587844881135, 1.63217369864499, -0.233002434042503, -0.33452591098295, -0.285888500971568, -0.288995095261158, -0.90640147934984, 0.213027676388098, 0.388107034745107, serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... -1.24366182870162, 0.429198137663839, -0.599895979224559, -0.140918021922898, -1.7892978629327, 0.469276864375356, 0.445991719757802, -0.33157688780705, 0.922741387036856, -0.032744137041756, -0.0469853466155234, -0.231550018575952, 0.144078931057793, 0.703237449583452, -0.378355363709858, 2.14792139047725, -1.81673657066137, 1.81804046530737, 0.67507809484402, 1.69808723300087, 0.856817164883717, -0.543800774001476, -0.127854756743797, -0.62772815873811, -0.465319621387402, 0.183066910405012, -0.606781996265298, -0.460448567758001, -0.749464034436139, -0.674678400892036, 1.37759265832614, -0.8374550664491, -1.70853945615211, 0.803412020690269, 0.882876865066842, -0.759830120872454, 0.0297675059523302, -0.580586033209984, 0.506173740577549, 1.28820878064403, 0.198806781444732, 0.735506708426008, 0.749309922967534, 1.22277987013073, 0.7591665743002, -1.07442920329372, -0.0782632460836101, 0.563175449579578, 0.0486662155932402, -0.55332867279148, 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-1.21674219540306, 0.366903821235228, 1.63322451598054, 0.57600116391318, 2.62159903950059, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 2.35301647902166, 1.29456537655635, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, 0.517933563530361, 1.51706949884474, 1.02470255994038, -0.169105211356617, 1.16292033782413, -0.676290435218596, -1.42835248557666, 0.221248384886406, -0.0938003176542031, 1.79001798478017, -0.226136216083787, 0.349254965543424, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.313805041746214, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, -1.84575738837975, -16.960851676496, -18.3826562129212, 6.43015965629958, -20.2249403972771, 24.1454032132213, -5.58862024667344, -2.89287244232098, -3.1818781455726, 5.72149549373033, -13.6626854617305, -8.28073346614134, -18.6044712732927, 3.14390224379052, -8.70558699125535, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 0.999862152281694, 1.40505139126812, 1.32645478405243, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 0.702119314562013, -0.068633696125817, -0.645249759649571, 0.85842250305929, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 1.2573668672221, 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-0.292483387028429, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 2.35301647902166, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 1.51706949884474, 0.837983217684359, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, 0.221248384886406, -0.0938003176542031, 1.699931496446, -0.226136216083787, -0.706973243484188, 0.349254965543424, -1.16340183424519, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.27198132109611, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, 9.51570119036855, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, -20.2249403972771, 24.1454032132213, 5.90172525990606, -2.89287244232098, -14.0735629998059, -3.1818781455726, -8.68498564147923, -8.28073346614134, -18.6044712732927, -9.24656062205327, 3.14390224379052, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, 0.392596468870937, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 1.91356398362494, -1.19551640355375, 0.925147932061565, -0.862889448370133, 1.48556666597297, -0.323378716168106, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.208164055388184, 0.85842250305929, -0.454665712829646, -1.0031038879234, 1.2573668672221, 1.06772950730813, 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-0.420864025280671, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.648305848591187, 2.35301647902166, 0.136417692905443, -1.07460677191658, -1.34850115368141, -0.0465678812137429, 0.517933563530361, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, 0.635417948752758, -0.895997832057571, 0.622556854177482, -1.42835248557666, 0.221248384886406, 0.020015945396685, 0.146900433152128, -1.10095930501703, 0.349254965543424, -1.10086936580084, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, -1.21710943324447, -1.27198132109611, -0.325055707435347, 0.437928531993262, 0.163013137616148, 1.9673566235267, -0.0921443668266886), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, 10.0060431194859, -10.7957550265179, -2.03116927639453, 6.43015965629958, -20.2249403972771, -0.692632428106748, 11.1105459007604, 20.7357655158531, -3.1818781455726, -11.8250703353458, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -12.5145663041873, 3.14390224379052, 6.65189162279916, -4.98046883853199, -26.8153800228268, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, 1.86026729426782, -0.497385784376131, -0.329263458810201, 2.14813206801029, -1.38231290160394, 1.91356398362494, -1.19551640355375, 0.999862152281694, 0.925147932061565, -0.384828874562752, -0.862889448370133, -0.785655199467656, 1.48556666597297, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.408562695807195, -0.645249759649571, 0.85842250305929, -1.0031038879234, -0.407037307483899, -0.54661479412367, 1.2573668672221, 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-1.54911198056862, 2.62159903950059, -0.025696521526341, 0.474562817860045, 2.35301647902166, -1.07460677191658, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, 1.51706949884474, 0.837983217684359, -0.169105211356617, -1.61469611115815, -0.676290435218596, 0.221248384886406, 0.020015945396685, 0.146900433152128, -0.0938003176542031, -1.10095930501703, 0.930750776451752, 0.349254965543424, -1.16340183424519, -1.10086936580084, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.517721735919348, -1.27198132109611, 0.437928531993262, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664), y = c(1.36455146549798, 9.51570119036855, -1.84575738837975, -9.01558859805802, -18.3826562129212, -20.2249403972771, -0.692632428106748, 11.1105459007604, 24.1454032132213, 20.7357655158531, -0.377248798794355, -3.1818781455726, -8.68498564147923, -11.8250703353458, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -9.24656062205327, 3.14390224379052, -4.98046883853199, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, -0.497385784376131, -0.329263458810201, 0.392596468870937, 2.14813206801029, -0.0124953265399268, 0.422120338844796, 0.61639251913841, -2.50262152979895, 0.925147932061565, -0.590944016006711, -0.384828874562752, -0.785655199467656, 1.48556666597297, 0.193963098805273, 0.0527774938826198, -0.068633696125817, -0.645249759649571, -0.208164055388184, -0.607657973242432, -0.454665712829646, -1.0031038879234, 1.2573668672221, 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-0.501966720876529, -0.0775043851498784, 1.97692571277644, 0.630127566957426, -0.225044963997591, -0.292483387028429, -0.420864025280671, 2.62159903950059, 1.65979764946917, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 1.29456537655635, 0.136417692905443, -1.07460677191658, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 0.837983217684359, -0.169105211356617, -1.61469611115815, 0.635417948752758, -0.676290435218596, 0.622556854177482, -1.42835248557666, -1.66202468624362, 0.890219621027536, -1.10095930501703, 0.163423183653266, 0.930750776451752, -1.16340183424519, -1.10086936580084, -0.962403409950212, 0.282469870623761, 0.313805041746214, 0.517721735919348, -1.21710943324447, 0.734558507053567, -0.325055707435347, 0.437928531993262, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(9.51570119036855, -1.84575738837975, -9.01558859805802, 10.0060431194859, -18.3826562129212, -2.03116927639453, 6.43015965629958, 8.73172424602405, -13.969103962324, 20.7357655158531, -5.14378880434676, -0.377248798794355, -8.68498564147923, -11.8250703353458, 5.72149549373033, -19.053273728511, -18.6044712732927, -9.24656062205327, -12.5145663041873, -8.70558699125535, 6.65189162279916, -4.98046883853199, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, -0.497385784376131, -0.329263458810201, 0.369730587231628, 2.14813206801029, -0.0124953265399268, 0.422120338844796, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -2.50262152979895, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.862889448370133, 1.48556666597297, -0.148983535412102, 0.702119314562013, -0.068633696125817, 0.484569434497438, -1.0031038879234, 0.0177286742852289, -0.54661479412367, 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Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta0.152178888564656, -1.97575164797568, 0.281378255471679, 0.166837305748697, 0.922535644707978, 0.0889538680688636, -1.14167405587017, 0.901318163959399, 0.0194736379577409, -1.10765727002844, -1.59400660794028, 0.769277302912765, -1.39274678308609, 1.3358371033184, 1.14407579722398, -1.236449485542, -0.0468916930348947, 0.860210329223689, 0.206691722180092, 0.765295244009308, 0.441264453455929, 1.24916625731944, -0.240920939989278, -1.08820039651088, -0.75837931471792, -1.49463480598097, -0.22560913890185, -0.959099442493013, 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0.477339758916043, 0.993918129915139, -0.735729375049361, 0.672581466402138, -0.152191622754556, -1.12233412126385, -0.0617407446679905, -0.894163747825111, 0.461652278410216, -0.447031760110055, -0.447900460397376, -0.143134065525481, 0.360292750317919, 0.915487245773653, -1.89511102402658, -0.376620074177479, 0.246010570856867, 0.637172774772893, 1.01990058898456, 0.919130142694553, 1.12728548651946, 0.244224270569954, 0.080878138458566, -0.140217795368861, 0.227426364534435, -0.997344910274393, 1.30714178663705, -0.0589492478228027, -0.58515402752619, 0.0892870682912178, -1.82900895311526, -0.236543470997769, 0.277292507083997, -0.586448471595223, -1.2959878461407, -0.0199574527351158, 0.604843671560403, -1.05321209688739, 0.494235979318938, 2.18920985430838, -0.863981059198544, 0.205398669876472, -0.412031369092688, -0.362482436128475, 2.38639103748848, 0.13774154709695, 0.0121886461030446, -0.497765393683735, -0.164690775680996, -0.962439645841172, 0.242444567393309, -2.31676780108091, 0.23483287240135, 0.89927644551979, 0.0194456197928905, -1.1648474191218, sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.392596468870937, 0.109427447325672, 0.369730587231628, 2.14813206801029, -0.0124953265399268, 1.91356398362494, 0.61639251913841, -2.50262152979895, 1.40505139126812, 0.925147932061565, -0.384828874562752, 0.193963098805273, 0.0527774938826198, -0.607657973242432, 0.484569434497438, -1.0031038879234, 0.0177286742852289, -0.407037307483899, -0.54661479412367, 1.2573668672221, 0.0413028633830614, 1.06772950730813, -0.0488060824900928, -0.440053388113733, -1.1548208890248, 1.9295213393584, -0.0819837534591141, 0.544915323158958, 0.694479394148268, -1.09145442344329, -0.0443690547903838, 0.488453033116865, 0.884217413171091, -1.60863815945688, -0.653863831125984, -0.800196402559196, -0.00094759257249616, -0.893855795889766, -1.16324482296585, -0.969332499364285, -0.427437192765897, 0.230163955877312, -1.37770197013537, -0.501966720876529, -1.21674219540306, -0.0775043851498784, -0.225044963997591, 0.958282033567734, 0.515988379149648, 0.57600116391318, -0.420864025280671, 0.528436375524047, -0.342343002481559, -0.0630130729046384, -1.01861999709059, -1.07460677191658, -0.0403419720204135, -0.738353042299165, -1.0311916789257, 0.517933563530361, 1.02470255994038, -0.169105211356617, -1.61469611115815, -0.895997832057571, -0.676290435218596, 0.622556854177482, -1.42835248557666, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 0.890219621027536, 0.930750776451752, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.10086936580084, -0.932948424860186, -1.71638753826073, 0.313805041746214, -0.422671780695275, 0.437928531993262, 0.881573985203294, 0.657660667837481, -0.188425688499664, -0.0921443668266886), y = c(-19.298534993808, -1.84575738837975, -9.01558859805802, -10.7957550265179, -18.3826562129212, -2.03116927639453, 6.43015965629958, -15.249369531479, 8.73172424602405, 24.1454032132213, -13.969103962324, -0.377248798794355, -14.5661269431648, -14.0735629998059, -3.1818781455726, -11.8250703353458, -2.28063445072232, -8.28073346614134, -18.6044712732927, 11.3147537290436, -4.98046883853199, -10.8085590850615, 3.83881941831794, -13.5763482787142, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) -1.72686829066019, 2.26593042756662, -0.0700224712550635, -0.489537613420034, 0.635872847512857, -2.09642244594532, 0.475608883559026, 1.43064660553193, 1.34112184635709, -0.0401479899190281, -1.69324414610846, 0.964708322509481, -0.340953741960209, 0.0138971797505822, -1.05317352836094, 1.89274505508417, 0.349974994424129, -0.126454735087022, -0.239047790367705, -0.0597744693880172, 0.230975579648363, -1.49758938854738, -0.167035370144096, 0.140118397436077, -0.847865246673081, 1.4930350986511, 0.488139998125735, -1.45627198439604, -0.0606704539843979, 1.11882736544319, -0.120777432654999, 1.13011188218219, -1.71629592507494, 0.766393478681659, -1.28001708406143, 1.19976704221711, 0.515447179904243, -0.589107131273012, -1.27197214664359, 0.0768918419484556, 0.424306729242291, -0.893715807644369, 1.0445436842654, -0.320631187289609, -0.727847240663119, -0.627089644349922, -0.781546552312647, -1.64608040491097, -0.167838719447016, 1.37821132899257, -1.0633032081978, -0.123370089967114, -0.873742911461729, -1.07843479513191, -0.942606417920914, -0.123582972972882, 0.125842726276124, 1.00408337040486, -0.224627261372027, 0.170468883396581, -0.245164825127476, -0.742960936918572, 0.56205050847103, 1.71391136769315, 0.200871600946274, -1.06985527769676, 0.253756484075861, 1.00541444295055, 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b")-0.50310469622295, -0.0626511715191271, 1.16640714828049, -1.3752740688133, 0.261594391496977, 0.949453164698885, 0.921653872102149, -0.0102266185711065, -0.18145400783566, 1.67434462048933, -0.198512788406643, 0.399806107234972, -2.03511759414201, 1.84101702077601, -0.177539141365907, -0.117957206620351, -0.118294986049733, 0.307071051019695, -1.48968940820465, -3.23378425930185, -0.640103250836354, 0.0386393909781821, 1.57964993772634, 0.598319601318689, -0.264548184881037, 0.351167269753675, 0.398619443265811, 0.4979487077437, -0.817397213427188, -2.46597306355617, -0.383171541682197, 0.437123947010847, -1.40044489409003, -0.643212238918941, 1.74549581837202, -0.237325996676579, 0.828740347673874, 1.8903710506355, 1.26918051087168, -1.14919143171112, -0.657156948598798, -0.557036236226552, 1.33786607653569, -2.23537108124741, -1.65172272308454, -0.682453074453237, 0.158779074389276, -1.64471601139409, -1.76400163837901, 0.162160125388196, -0.19520861354852, 1.22301611062456, 0.324862555508218, -0.46637850234757, 1.53043764712667, 1.05967454505472, 0.570097246868314, -0.930273805267811, -0.63830245028472, -0.617096867129088, -0.466026197763668, -0.210359885271959, -1.1358383475932, -0.413501324601748, -0.326836647569676, -0.113935749220566, 2.0061118311743, 0.53196611633364, -1.7561689493717, 1.78590058179083, -1.63439039431383, -1.25796245603168, if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE)-0.382180097181891, 0.804593386455215, -1.27449689101497, -1.43888128347114, 0.10269874522492, -0.677231936640816, -0.621159978657518, 0.247892266270659, -0.82262556795756, 0.296835481196831, 1.1861374061626, -1.17474203274423, 0.76012478959405, -0.366163587060591, 0.162946567256247, -0.758171555647719, -2.30522710622408, 0.167987496707541, 1.56159483100008, 2.35151289062791, 1.03564642691858, 0.426512735081228, 0.518757540572187, 0.79293890877902, 0.591519728236008, 0.758832811376545, -2.23604098320896, 1.65902045584644, 0.230134622079794, 1.03463564930448, 0.446145100573194, 0.420819260635745, -1.08685973753418, -1.34452266889351, -0.995574558365845, 1.27894686659961, -0.0923691449284719, -0.35305135076846, -1.09717867200509, -0.356929179983208, -0.973190145070518, -0.289732853473663, -0.367604601064676, -0.561042230007499, -1.48209692789484, 0.291411365978949, 1.83345757601824, -0.10936440875318, -0.927653674273559, 0.404287168011041, -1.05355782720474, 1.67910661994802, -1.48441142370325, 1.06711655580639, -0.373043816308207, 0.0910125376454138, -2.6919304209352, -0.776394356477844, 0.457931876079384, 1.71593983425662, 0.526745967780915, 0.433650047718016, 0.49848669120262, 0.511952531298659, 2.95502904348058, -0.458195414544759, -0.384077115693992, 0.664423908739973, -0.34026403993502, 1.21864071889036, 0.224500751449443, -0.24405646618636, -0.413769820081049, 0.727919011379007, -0.628188655929664, 0.16000613076311, 0.0603998058488802, 0.224445545964237, -0.117909740055838, 0.139985151451238, 1.16777344430472, 1.64196803877586, 0.233669956812146, 1.08704137868298, -1.51891065341835, -0.103709922155822, 1.42132588923177, -1.53295237095854, -2.13264840394476, -0.836843616003938, 0.633704912011415, 0.582340643258961, -0.746072498077002, -0.395666893681731, 1.04916512872626, 0.260317160034021, 0.158958778269984, 0.511837391571719, -0.92087667831257, 0.344045581630621, 0.368091954200837, -0.495407285250431, -0.20490100374595, 0.849378684748774, -0.633875356291442, 1.50413942418296, -0.537651119810859, -0.20885865789593, 0.503111842942763, 0.992424251895152, -0.175365555968755, -0.773495429371934, 2.37507161651922, 0.498386374906394, 1.20421267396208, -1.45160562993114, 0.490368798168192, 0.549626426089899, -0.0190183579973745, 0.231930091640901, 0.061113881642848, -1.95534475564795, -0.0304461056602778, -1.47659014407861, -1.23100728007113, 0.59051678296738, -0.106482100395733, -1.16216269921145, -0.504205042254152, -0.979400890923633, -0.189475163733416, 0.0513076482157255, -0.617005309808643, 1.17361320149123, 2.00980577947695, 0.840449808074793, 0.906126858109331, 1.26572780485669, -0.922965655482584, 1.01806644345921, 0.447955388149249, -1.54481590292907, 1.11432994842176, -0.0380572998811024, 0.436926632982249, 0.287467277648166, 0.671146147336693, -0.183220792902803, -0.451573875876096, 0.387880462599975, 0.327096961450932, -1.45154325690625, 0.150787764486556, -1.26831286571878, 1.11389905893292, 0.44467104934894, 0.181011675181854, -1.01115874749592, 0.353914211519607, -1.58540902666019, 0.00840625502598715, -0.209148255897983, -0.643593011825094, -0.357050553511969, -0.0838041083608864, -1.99193353423595, 0.0708674371456522, -0.71784603482801, -0.0360555520323064, -0.216417732746407, 1.31742136399219, -0.571301214179931, -0.114862326593766, -1.26870916988805, -0.0574287029333404, -0.566927769174591, -0.893933561862783, -0.914864088878239, 0.0858352420869528, -0.9062856051302, 0.800889672773618, 0.489412522061945, 0.524815348898977, -0.0562690914238476, -0.572808812604484, 0.959763572987875, 0.73081990635882, 1.70309394845657, 1.58543949537077, -0.185014097013139, -0.78124076474101, 0.403399233559638, -1.11243037018093, -1.36025805767004, -0.709682748543453, 0.0905594498301839, -0.783602097158964, -1.59139609818075, 2.57128466478144, -0.927485504680428, 0.459551981743653, -0.591948089386995, 1.31726659569933, 0.0275217663687493, -0.890563879585721, -0.382557011130267, 0.904537758374269, 0.31010359966936, 0.49385271401484, -0.326386175995421, 0.104483304322333, 1.69545047426062, -0.835262042149236, -0.0563490459089608, 0.808194590414432, 0.651318476275427, 0.299060095168026, -1.37800505363496, 0.796904113864824, -0.826779019261307, 0.00634435910380221, 0.298633515040688, -0.66425179895083, 0.0800491585368963, -0.364949386059482, -0.145699627081077, 0.875605030665874, 0.732335395075247, -1.48332050592871, -1.10235691902448, 1.68349202612754, 1.3225007318864, 0.431217985818221, 0.0553283945324246, 0.0974410423142571, -1.08444796448108, -0.288821163466886, 0.657389204800338, -0.98039607656313, -1.194489549578, 2.01791453739689, -0.865158280590732, 1.18174814466113, -0.626321993899433, -0.755284409305888, 1.07585233980449, 0.0692753367622105, -1.42174579088304, 0.235624174379452, 0.601795460203899, -0.0990143406973527, -0.984010744994724, -0.231681859020516, 2.56591011510935, 1.14304944253704, -0.197282559046136, -0.339635075743422, 1.94887164270355, -1.8203248545591, -1.65651180207328, -1.09806753621391, 1.71599274641314, 0.956559246359065, 0.338751995885726, 0.835943863058026, 0.452547649480384, 1.31013072317299, -0.0208479797823828, -1.26592489968541, 1.94968429891423, -0.232411194405642, -0.415346843977953, -0.254591823189431, -1.04336675899743, -0.0431929651561342, 1.57290043316112, -1.2582251658912, 0.559898040492341, -0.618426218722124, -0.764107214577017, -0.829766681074629, -2.07777829365973, 0.29126513463333, 0.517400802747339, -0.0203905691766636, 1.62221591009437, -1.2153511141215, 1.20681492837293, -0.36864614813316, 0.521037322117474, -1.57683124343435, 0.85874682796355, 1.38785459978446, 0.04238831562083, 0.665942084732983, -1.35402328906193, 0.865491776629819, 0.00747792475475416, 0.765949161602906, -0.407108368665917, -0.102785491044407, 1.34508201529177, 0.335915734840296, -0.734561776532566, -1.56749692247744, 0.54144727502567, 0.601461681052205, 1.28168007212397, 1.00056856423071, -1.30993099808051, 0.890780890980702, 0.890510287656874, -1.12443765698679, -0.784332726204158, 1.34336110670632, 0.982119854032174, -1.54419414234617, 1.0207783655951, 1.44421630119695, 1.11934695718964, 0.559657625735159, -1.42545759961862, -1.62870523506409, 0.209320019683833, -0.0127135102649265, 1.02571348911049, 0.474792545291305, -1.29065669548341, 0.0485968491680805, 2.80179575264111, -0.387013369379073, -0.23823500925363, -0.933381848711231, -1.24759465782619, -1.76719934257311, 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... 0.572359419060849, 1.54940194556297, -0.0912208098443097, -0.454089941079792, 1.12676326595363, -0.246278275892305, 1.13169149756215, 0.237163248108064, 1.48916195340793, 1.19568766068965, -0.853846591784925, -1.42180500883482, 1.50696474895724, -0.69228180459497, 0.506093035461762, -1.91061274634435, -0.308498323059931, -1.23595677802296, 0.29301174018067, 0.96700410804125, -2.88313159866551, -1.18908259213371, 0.796952442986954, 1.31568423327272, 0.574017669691765, -0.790433646441813, -0.902582157487106, -0.228075929927684, 0.648055668131202, 0.751231896666087, -1.09306596822571, 0.528071775433953, -1.09593987951768, 0.357655552775307, 0.973016969336089, 1.15508236841929, -0.622473974487188, -0.470994856574257, -0.13701322642698, -0.378917321022062, -0.614318454704846, 0.940176969708446, 0.121873742097072, -1.85791447232953, -0.754788009304955, -0.37300519496696, 0.752833196076928, 0.790542779168997, -0.691067197904456, 0.336833811250434, 0.664280314306775, 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0.337016813050068, -0.412031369092688, 2.38639103748848, 0.63408419444579, -1.0510204933252, 0.13774154709695, 1.15197321171478, 1.51742041294056, -0.193603159913885, 0.89927644551979, 0.0194456197928905, -1.1648474191218, 2.07860357115171, 0.884217413171091, -0.501233595341427, -1.60863815945688, -0.543216258798932, -1.81891445464763, -0.800196402559196, -0.893855795889766, 0.473735318832432, 0.61532688679562, -1.16324482296585, -0.969332499364285, -0.427437192765897, -0.520689299988748, -0.501966720876529, -0.0775043851498784, -0.932450573591533, 1.97692571277644, -0.225044963997591, 2.62159903950059, 1.65979764946917, 1.29456537655635, -1.01861999709059, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, -1.0311916789257, -0.0465678812137429, 1.51706949884474, 1.02470255994038, -1.61469611115815, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.020015945396685, -1.66202468624362, 0.890219621027536, 1.699931496446, -1.10095930501703, 0.930750776451752, -0.962403409950212, 0.282469870623761, 0.734558507053567, -0.422671780695275, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148, -0.188425688499664, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, 10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, -2.03116927639453, -0.692632428106748, 8.73172424602405, -13.969103962324, 5.90172525990606, 20.7357655158531, -0.377248798794355, 5.72149549373033, -19.053273728511, -8.70558699125535, 11.3147537290436, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268, -13.5763482787142, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 1.86026729426782, -0.497385784376131, 0.392596468870937, 0.109427447325672, 0.369730587231628, 2.14813206801029, 0.422120338844796, -1.19551640355375, 0.999862152281694, 1.40505139126812, 0.925147932061565, -0.590944016006711, -0.384828874562752, -1.62180498737223, -0.323378716168106, -0.408562695807195, -0.645249759649571, -0.208164055388184, 0.484569434497438, -0.454665712829646, -1.0031038879234, 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-0.225044963997591, 0.958282033567734, -1.54911198056862, -0.025696521526341, 0.474562817860045, 0.648305848591187, -1.01861999709059, 0.136417692905443, -1.07460677191658, -0.738353042299165, -1.34850115368141, 1.51706949884474, 1.02470255994038, 0.837983217684359, -0.169105211356617, 0.635417948752758, 1.16292033782413, -0.895997832057571, -0.676290435218596, -1.42835248557666, 0.146900433152128, -0.0938003176542031, 1.699931496446, -1.10095930501703, 0.163423183653266, 0.930750776451752, 0.459332344538367, 1.52966348111674, 0.823778920330776, 0.517721735919348, -1.21710943324447, -0.422671780695275, -0.325055707435347, 0.437928531993262, 0.657660667837481, 0.163013137616148), y = c(1.36455146549798, -19.298534993808, 9.51570119036855, -1.84575738837975, 10.0060431194859, -16.960851676496, -10.7957550265179, -18.3826562129212, 6.43015965629958, 11.1105459007604, 24.1454032132213, 5.90172525990606, 20.7357655158531, -5.14378880434676, -0.377248798794355, -14.5661269431648, 0.202967839439172, -13.6626854617305, -9.24656062205327, -12.5145663041873, 11.3147537290436, 6.65189162279916, -4.98046883853199, 3.83881941831794, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, -0.329263458810201, 0.109427447325672, 0.422120338844796, 1.91356398362494, -1.19551640355375, -0.131035380402158, -2.50262152979895, 0.925147932061565, 1.32645478405243, 0.0269793216173192, -0.785655199467656, -0.148983535412102, -0.323378716168106, 0.193963098805273, -0.408562695807195, 0.0527774938826198, -0.645249759649571, -0.208164055388184, -0.607657973242432, -0.454665712829646, -1.0031038879234, 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-1.54911198056862, 2.62159903950059, -0.025696521526341, 1.65979764946917, 0.474562817860045, 0.648305848591187, 1.29456537655635, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, 1.51706949884474, 1.02470255994038, -1.61469611115815, 1.16292033782413, -1.42835248557666, 0.020015945396685, 0.146900433152128, 1.79001798478017, 0.890219621027536, -1.10095930501703, -0.226136216083787, -0.706973243484188, -1.16340183424519, -0.932948424860186, 1.52966348111674, -0.962403409950212, 0.823778920330776, 0.282469870623761, 0.517721735919348, -1.21710943324447, 0.734558507053567, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134), y = c(1.36455146549798, -19.298534993808, -9.01558859805802, -16.960851676496, 6.43015965629958, -0.692632428106748, 11.1105459007604, -5.58862024667344, -13.969103962324, 20.7357655158531, -2.89287244232098, -14.0735629998059, -8.68498564147923, -2.28063445072232, 0.202967839439172, 5.72149549373033, -13.6626854617305, -19.053273728511, -9.24656062205327, -12.5145663041873, -8.70558699125535, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(1.86026729426782, 0.392596468870937, 0.109427447325672, 0.369730587231628, 1.91356398362494, -1.19551640355375, 0.61639251913841, 0.999862152281694, 1.40505139126812, -0.590944016006711, -0.384828874562752, -1.62180498737223, 0.0269793216173192, 0.193963098805273, -0.408562695807195, 0.702119314562013, -0.068633696125817, -0.645249759649571, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.0177286742852289, -0.407037307483899, 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-0.161723494209466, -0.535233031543272, 1.17082082697727, -0.651593406521887, -0.538516080243021, -0.018026996041242, -1.51304105458027, 0.0666556354746357, -0.841709140334995, 0.633227023014305, 0.625787122882313, -0.613004156055212, -0.77803642591896, -0.23358722121876, 2.12413781263043, -0.750855793339015, -1.38383564028029, 2.46314746122794, -0.994839282959007, -0.734367467388832, 0.948842605039774, 1.2273323026423, 0.57441338411821, -0.443120344458198, 0.808613669998104, -0.84996115811259, 0.759190991129679, -0.158334965037789, 0.994107853073418, 0.141688335858352, 2.51679616734048, Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept")-1.29332273371429, 0.926096905168633, -1.03332709128171, 0.9602493366402, 0.174746833691465, -0.327106902569587, -2.24418491845213, -0.456817315954693, -0.677399544438237, 0.159373277311079, 0.502473530895323, 0.515152777581175, 1.03296579239455, -1.24899599261967, 1.45679916399556, 0.298452681393247, 0.54670990814314, -0.655417940025697, -1.18416593724944, 0.707321933914038, -1.21434240317314, 0.708627319691112, 0.950159259145853, -0.932054436486113, x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x))-1.30168690267442, 1.11197873860926, 1.14231923114161, 0.125522539479063, 0.275027435615121, -1.66335543657731, -0.00230937792410934, -0.734149790285882, ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta0.0566345195871958, 1.13229392191349, 0.59042846747327, 1.26717984710449, -0.631659121243799, -0.639906246998868, -0.282213611033196, -0.932781337381894, -0.149424680461602, 1.77087875584177, 0.387680044133111, 0.434106316555114, 0.786467943331026, 1.92028004683254, 1.80238874853738, -1.96263643842561, -1.31214116254547, 0.795535674120878, 0.496840364289792, 0.45394520432546, 0.818214299223789, 0.479866898001156, 0.993918129915139, -0.735729375049361, -1.67020421365599, -1.78407074459757, -0.577027540417619, -2.05940591554794, -1.12233412126385, -0.765359103001321, -0.0617407446679905, 0.461652278410216, -1.48312827904174, 1.97502222321536, 0.446278686016102, 0.360292750317919, -1.54376344735948, 0.969522342318959, 0.637172774772893, 1.01990058898456, -0.621154609290433, 0.668556939511994, 1.12728548651946, 0.244224270569954, 0.080878138458566, 0.242880301804018, 0.434890347048558, 1.30714178663705, 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0.438798109409653, -1.01747434985744, 0.311098674727316, 0.61532688679562, -1.16324482296585, -0.520689299988748, -0.386423225090122, -0.501966720876529, -1.21674219540306, -0.932450573591533, 0.630127566957426, 0.9112635830062, -1.71629592507494, -0.259726012090368, -1.28001708406143, 1.19976704221711, 0.515447179904243, 0.0768918419484556, 1.29510905721273, -0.320631187289609, -0.627089644349922, -0.781546552312647, -1.64608040491097, -0.225044963997591, 0.958282033567734, 0.515988379149648, 2.62159903950059, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.60957254952179, 1.37821132899257, -0.873742911461729, 0.48088772411133, 0.649363143435358, -0.117476672585284, 0.0663620826162833, -1.64850310966172, 0.423265746089058, 1.61494547691554, -0.440091613589277, 0.55025634179925, -0.0403419720204135, 0.621583927869213, -0.738353042299165, 0.517933563530361, 0.837983217684359, 0.635417948752758, 1.16292033782413, -0.895997832057571, 0.020015945396685, 0.146900433152128, -1.66202468624362, -0.0938003176542031, 1.50683954891156, 1.13321211088213, 1.00408337040486, 1.79124434734197, 0.170468883396581, -0.245164825127476, -0.742960936918572, 0.200871600946274, 0.726053754803989, -0.50310469622295, 1.16640714828049, -1.3752740688133, 0.261594391496977, -0.273456346164482, 0.921653872102149, 1.67434462048933, 0.0124275652001895, -0.0159034255612807, 0.0180755877298397, -0.515325418468592, 0.000982564076274508, -0.673037732788009, -0.416182826002973, 1.39010275870933, -0.71742103420099, 0.4522624318853, -0.434245677192777, -0.177539141365907, 0.76909612593475, -0.118294986049733, 0.307071051019695, -1.48968940820465, 0.0386393909781821, 0.345456103750523, 1.699931496446, 0.163423183653266, 0.930750776451752, 0.459332344538367, -0.706973243484188, -0.962403409950212, 0.823778920330776, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, 0.734558507053567, 0.881573985203294, -1.13080371724134, 0.657660667837481, -0.0921443668266886), y = c(9.51570119036855, 10.0060431194859, -16.960851676496, -10.7957550265179, -0.692632428106748, 11.1105459007604, 8.73172424602405, 24.1454032132213, 5.90172525990606, -5.14378880434676, -0.377248798794355, -14.5661269431648, -14.0735629998059, 5.72149549373033, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, -8.70558699125535, -10.8085590850615, 0.351167269753675, 0.4979487077437, -0.817397213427188, -2.46597306355617, -0.451200694804514, 0.437123947010847, 1.74549581837202, 1.31841814009384, 0.0341860195789722, 0.888726859138348, 1.21865718544834, -1.86441576774526, 11.4212040365199, 3.83881941831794, -16.9067279039585), q = 9) 3: -0.534230142299035, -0.0746344632821325, -0.331363626092758, 0.281006434287513, -0.297752068032125, 0.363222588980934, -1.14919143171112, -0.0987871733621761, -0.557036236226552, 1.33786607653569, -2.23537108124741, 0.158779074389276, 0.779967819521142, -0.19520861354852, 0.324862555508218, -0.46637850234757, 1.53043764712667, 0.642570112530202, 0.570097246868314, -0.617096867129088, 0.734596776065243, -0.62994205143714, -0.516301571086276, 1.07147636783086, 0.9322968497066, -0.0874733946062214, -0.309162496725258, 0.229039756768632, -0.290109864165446, -0.236989082141936, -0.203686249897211, -0.326836647569676, -0.215048758150778, 2.0061118311743, 0.53196611633364, -1.7561689493717, -1.25796245603168, 0.739367754996187, -1.43888128347114, -0.677231936640816, -0.621159978657518, 0.247892266270659, 0.00789012769530819, 0.296835481196831, 0.76012478959405, -0.192218919151973, -2.23182004719524, -0.021230410289657, 0.63187190790291, -1.47352965462111, 0.698767790670036, 0.976440808648031, -1.0475176403928, 0.786721752530905, 1.01301497024733, 1.47270362596491, 0.167987496707541, 0.298005123518934, 2.35151289062791, 1.03564642691858, 0.426512735081228, 0.591519728236008, -0.613142215746885, do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: 0.230134622079794, 0.446145100573194, 0.420819260635745, -1.08685973753418, 0.141605370089618, -0.995574558365845, -0.35305135076846, -0.739980124412477, 0.228368506181685, 0.0842830014677174, 0.188955334951221, 0.874087228165842, doTryCatch(return(expr), name, parentenv, handler) 6: -0.903962617443594, 1.90317124741509, 2.39256245064269, -0.608483824599274, 0.0178162358309873, -1.50487239474963, -0.367604601064676, -0.478408260361541, -1.48209692789484, 0.291411365978949, 1.83345757601824, 0.404287168011041, 0.0942616699301531, 1.06711655580639, 0.0910125376454138, -2.6919304209352, -0.776394356477844, -0.341474343411678, 1.71593983425662, 0.49848669120262, -0.136113699843351, -0.405086884346397, -0.53922208899371, -1.54788607728666, 0.302146507506861, 0.00617378318570502, 1.02885594510592, -0.0598281098590618, -0.996172504439781, 1.62997453589678, -0.655802591030587, 0.664423908739973, -0.294683216573479, 1.21864071889036, 0.224500751449443, -0.24405646618636, -0.628188655929664, 1.09868746832382, -0.117909740055838, 1.16777344430472, tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: 1.64196803877586, 0.233669956812146, 2.25867310960604, -1.51891065341835, -1.53295237095854, -1.48546098741195, 0.318065025223496, 0.556535693970008, -0.00763643605195159, -0.641482647161614, 0.66332663036614, 0.768648652444844, tryCatchList(expr, classes, parentenv, handlers) 8: 0.963459718995161, -0.703496920971294, 0.917761479834277, 0.489701763572655, -0.746072498077002, 0.789848226552627, 1.04916512872626, 0.260317160034021, 0.158958778269984, 0.344045581630621, -0.0339077007574963, 0.849378684748774, tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) {1.50413942418296, -0.537651119810859, -0.20885865789593, 2.62354931848441, 0.992424251895152, 2.37507161651922, -1.0315529861596, 0.130739615377578, 1.08037111149496, -0.348957096426556, 0.01702934949853, -0.226192579499916, -0.930403224048746, 0.267143868128302, 1.0916531983078, -1.77575565997069, 0.102663125158192, 0.549626426089899, 0.418509412482758, 0.231930091640901, 0.061113881642848, -1.95534475564795, -1.23100728007113, -0.899218116492297, -0.504205042254152, -0.189475163733416, 0.0513076482157255, -0.617005309808643, 0.979235015619018, 2.00980577947695, 1.26572780485669, -0.228999753976714, -0.502788847163518, -0.201608754148457, 1.10191230392503, 0.0614040139531168, -1.37250695341921, 0.257623499929804, -2.66544516074813, -2.21276505725076, if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L)-0.323344826401717, 0.710734617445064, 1.11432994842176, -0.215647334285331, 0.436926632982249, 0.287467277648166, 0.671146147336693, 0.387880462599975, 0.737155327487493, -1.26831286571878, 0.44467104934894, 0.181011675181854, -1.01115874749592, 1.24483609267652, -1.58540902666019, -0.643593011825094, -0.124245200484966, -0.445909444905845, 1.68384205006017, -0.775855929817846, 0.144753153900765, 0.231667983768673, 0.589698865206976, 1.5995521431387, -0.154969607310226, -1.31620731209365, -1.39394425678363, -0.71784603482801, 1.45849900483683, -0.216417732746407, 1.31742136399219, -0.571301214179931, -0.0574287029333404, -0.249597148131406, 0.0858352420869528, 0.800889672773618, 0.489412522061945, 0.524815348898977, 1.11837898342888, prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]]-0.572808812604484, 1.70309394845657, 0.668002679797359, -2.20018395684558, -0.305925788134879, 0.874806964198667, -1.61927442904976, 1.4646367459658, -0.466727311257396, 0.368972279704349, -0.594253303948796, 0.731723711049417, 1.30183297987909, -1.11243037018093, 0.207736935948367, -0.709682748543453, 0.0905594498301839, -0.783602097158964, -0.927485504680428, -0.442751751457478, 0.0275217663687493, -0.382557011130267, 0.904537758374269, 0.31010359966936, 1.20419380411352, -0.326386175995421, -0.835262042149236, -0.0407310349970477, -0.549291377338351, 0.828833198332209, -0.828095792242395, 0.157246253007295, 0.425849257898329, -2.48475394774391, 0.103512644477573, -1.30996386776931, 0.03237378441939, 0.228559570091728, -1.37800505363496, 0.235441506998332, -0.826779019261307, 0.00634435910380221, 0.298633515040688, -0.364949386059482, -1.20916844037499, -1.48332050592871, 1.68349202612754, 1.3225007318864, 0.431217985818221, 0.34210085135816, 0.0974410423142571, 0.657389204800338, 0.129901677457492, 0.682233306494463, -0.774113897758287, 0.332363300662226, -0.408582989494285, -1.40951247322733, -0.632485486686934, 1.21159054279193, -0.412231302274938, 0.258913251706962, 2.88309083045678, 1.18174814466113, -0.71612457609854, -0.755284409305888, 1.07585233980449, 0.0692753367622105, 0.601795460203899, -1.2127004427251, 2.56591011510935, -0.197282559046136, -0.339635075743422, 1.94887164270355, -0.961312844883796, -1.65651180207328, 0.956559246359065, -0.17601731612834, -0.795242972716268, -0.341726892629263, -1.14822603491505, -0.772098791635341, -0.182419499468104, -0.384179248666516, 0.478523809800335, -1.12354122880434, -1.5789358924079, 1.39511831934529, -0.0208479797823828, 1.29175107694421, 1.94968429891423, -0.232411194405642, -0.415346843977953, -0.0431929651561342, 1.00219901677227, -0.618426218722124, w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], -0.829766681074629, -2.07777829365973, 0.29126513463333, -0.352579249738033, -0.0203905691766636, 1.20681492837293, 0.29665423973287, 2.11725076574052, -0.512541814929672, -0.219095239817145, -0.692678396240879, -1.4422113032552, type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ")-0.901161384707652, -0.192160871650321, -0.649379795920993, 0.806561600724808, 2.23855131237509, 1.38785459978446, 0.0803249640343155, 0.665942084732983, -1.35402328906193, 0.865491776629819, -0.407108368665917, -0.0851428214163169, } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n")-0.734561776532566, 0.54144727502567, 0.601461681052205, 1.28168007212397, 0.953755702693086, -1.30993099808051, -1.12443765698679, -0.334576477264026, -0.265874968516167, 0.830766900423677, -2.31355979311314, -0.35071995402309, .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile)0.557056979111714, 0.217556428980455, -0.0481667725892465, 1.08002194586797, 0.120917758551672, -1.27513419700247, 1.0207783655951, -0.336403871996279, 1.11934695718964, 0.559657625735159, -1.42545759961862, -0.0127135102649265, 0.669191662865946, 0.0485968491680805, -0.387013369379073, -0.23823500925363, -0.933381848711231, -0.922782390724156, -1.76719934257311, -0.0912208098443097, -0.543631888456867, -0.375812884849251, -0.678450796811009, 0.689294470720678, 2.18125897032589, 0.120092525037531, -0.423844725212059, 0.637941686268164, .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) -2.27148984132293, -0.690773157604533, 0.842778938666962, 0.237163248108064, -0.540648881779023, 1.19568766068965, -0.853846591784925, -1.42180500883482, 0.506093035461762, -0.0665941810579909, 0.29301174018067, -2.88313159866551, 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) -1.18908259213371, 0.796952442986954, 1.27225548832147, 0.574017669691765, -0.228075929927684, -0.749068979969641, 0.190682256709646, 2.32037293809887, -0.361496378945472, 0.207012791126179, -1.55499975191886, -1.68038882142955, 0.253410677712235, -0.604271878135714, 1.01834721939984, -0.327418219369948, -1.09593987951768, 1.70156683831477, 0.973016969336089, 1.15508236841929, -0.622473974487188, -0.378917321022062, -0.36097119549572, -1.85791447232953, -0.37300519496696, 0.752833196076928, 0.790542779168997, 0.652352523121551, 0.336833811250434, 0.121429330886625, -0.257876794921838, -0.585870041514971, 0.917475043219385, -0.729925278433741, 1.02020209179772, -2.05139764857226, 0.399751033829558, 0.551620862715639, -1.68391930815347, -0.018010032558922, 1.17535073084862, 1.12465382051253, -0.436986588307582, -1.45227388547742, 0.114899743166815, -0.626998877135765, 1.51034851679161, 1.14635988421593, -0.549420280563485, 0.20813913565587, -0.995153207695428, -0.934661998970805, 1.31992137162185, 0.414103874480738, 0.747710431019417, 1.25787431624236, -0.320366288762705, 0.512113885166005, -0.427436397451448, -0.153042322618859, -0.988037515580691, -0.397874649056084, -1.56729228178158, 0.520046478193025, 1.05019026562667, 0.448866844295473, 2.33956485898188, 0.303683909008573, 0.950851050069469, -0.851738912443062, 0.303385750631151, 0.484863200034255, -1.02790661646292, -0.310707146596879, 0.0827190166323135, -1.84557951379455, 0.215166306339458, 0.650897243127201, 1.25964056228822, 1.73289096375148, -1.45614004885288, 0.244645676544851, 1.02620855791466, 1.0571555966046, -1.54514031383406, 0.54101159742007, 0.118339556562444, 2.00748695529184, -0.447875083552435, -0.972473499292614, 0.24906133323602, 1.01831532537719, 16: try(eval(expr, env), silent = TRUE) 0.506581831818947, -0.636500979894382, -1.44988439373002, -0.687548078704943, -0.16631005062855, -0.177232256187792, -0.455227057421455, -0.674510274411256, 1.36350862491713, -1.67355366382433, -0.0890242835809779, 0.285280442058413, -1.18501417281261, -1.23618171343351, -0.195455485111354, -0.713753062189137, 0.91501427903275, -0.115051037562403, 1.53479890431643, -0.786801945552925, -1.32653331622201, -0.0120844658996375, 0.574564611281932, -0.0782955765926358, 1.97745099803984, 0.819927020492697, -0.117419858321175, -1.39379837990505, 0.840591940280881, 0.441483017937114, -0.317990157815129, -0.690596619558871, 0.55892826155911, -0.70115815896088, 0.283830586376809, 0.347295907618811, -0.907447282896117, 0.87861123751325, -0.863224346841388, 0.371811059031201, 17: serialize(what, NULL, xdr = FALSE) -1.04408585803687, 0.72286000736393, 0.826683663785016, -0.269262797673692, -0.0404808663652169, -0.201511781225535, 1.22902263344083, 2.32906647147216, 1.20601349178556, -0.0649602501847589, -0.90073468957422, -1.98257610612365, 0.110082714250656, -2.32510116671784, 1.01930702376277, 1.04355025900897, 0.982543845031237, 0.589369613424264, 1.93321192611118, 0.966918540202605, 0.285034834141993, 1.07360997540291, 0.332313158130321, -1.44595974586047, -1.58992360827262, -0.90106647408131, 0.997936198190743, 0.577455916089636, -1.16301134274788, 1.41526962815455, 0.175277664847636, 0.775358786441806, -0.467067145917081, -0.303950126991018, -0.853114313554392, 2.29537578643349, -1.87993291802256, 0.862578554908033, -0.899503827661131, 0.11368486749948, 0.279944321053765, -0.15772584222394, 0.395561934544916, 1.81804033730969, -0.754175863065912, 0.734949240818507, -0.519178237513233, -0.0808406829861892, 0.525969581506008, 0.17320295934249, 0.497543467990312, 0.561527550098356, -0.0496841471782828, 1.73896539476575, 1.02984139787404, -0.971009569105834, 0.994053023434138, -0.38313575750335, -0.135318882381456, 1.00705088502551, 1.03663377605922, -1.30196811589103, 0.125890962671401, -0.0729950272385655, -1.2624000365585, 0.0675758450413006, -1.55602765135106, 0.0671522971708903, 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, -0.870771446832189, 1.89767678997759, 1.00076987449582, -0.30344722424515, 0.0447697949387516, 1.90794064339403, 0.0649918617717238, 1.81238825944867, -0.471281622557376, 0.994337435390628, -0.0480310751504079, 0.653628352752685, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: 0.528743037263225, 0.41469095776014, -1.23368540529602, -0.830897285094434, -0.233965154497651, -0.628609581235257, -0.150018565169046, 0.0791217903442866, 0.65071811517511, 1.12691306792269, -0.900518267661279, -0.223132612977701, papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, -1.27321228373902, 1.22771247939222, 0.771087574615172, 1.7283551958503, 0.585486006169615, -0.857700778142304, 2.35402960134994, -0.479971525262254, -0.538266409826289, 0.0854164636503481, 0.322197997257779, 0.348304925503423, -0.504023799871338, 0.0819313693781451, -0.705790635465927, 0.599656611071272, -0.549113925473052, -0.744932126852068, -1.33233071914036, -1.06401286264776, classes)) tryInvokeRestart("muffleWarning")) 22: 1.48563275261679, 1.05260784733983, 0.3481438588216, 0.255807623756428, 1.10062695194393, 2.08831584388248, -1.22794309250733, -0.817817876145548, 1.02116125944677, 0.30754729690445, 0.315171120998166, -1.32449466119794, suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...))0.452798033264669, -0.899135586041583, 0.394125615759533, 0.56205971344019, -1.6250926416132, 1.16989644607993, -1.21841210446573, -0.738149959909799, 1.78408445960479, -1.65751636169196, -0.404278041089472, 0.136171600973349, 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, 1.19218605121975, -0.271916092427478, -0.504621121651004, -0.840680959234418, 1.23752474687792, -0.169184073524941, 1.75159219668155, -1.09456542155119, 0.168375303264347, -0.511304223248976, -0.396786711246364, -0.454744407821232, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, -0.329098292584911, 0.259474935315942, 1.06820037849208, -0.50414665042749, 1.7641048857005, 0.487163201511383, 1.41595849412619, 0.272107334869109, 0.349437775717378, 0.189731341213508, 0.906993997057157, -1.52650551814705, names = nms, mc.preschedule = mc.preschedule, ...) 24: -0.390596867076437, -0.218087659346274, -0.0913110621360407, 0.830738600587622, -0.442636793511408, -0.234398160621266, 0.504384397122683, 2.23802700540735, 0.16178336379575, 0.606644278486181, 1.39650938782895, stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: -0.860347638670056, 0.549990538228036, 0.351767667344722, -0.321236909037605, -0.870715113535156, -0.480831908866558, -0.33467625142609, 1.23048515884662, 0.336118240170262, -0.501295831015418, -0.0625756733801089, 0.344935791389835, -2.23591667858239, 0.13881235450512, 1.28231692968789, -0.427219777786828, -0.182358177577084, -1.31954844859218, 2.16345248599423, 1.04202575133196, -1.73408943558806, 1.1830975130635, 0.51132028092983, -1.57566128690532, 0.623597437697434, 0.402165527116249, -1.1935774036954, 0.465437314211619, 0.963212095178646, 0.856560949790603, -1.25441082066926, -1.63469332413181, 0.449823261552108, -0.100400156706016, -0.298334639295981, -0.604852068625662, -0.345471009565384, 0.337716892175213, 0.46604094362327, 2.08513982049011, stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: -0.618267180108707, -0.665340063756918, -0.892725346348829, -0.63186126972623, -2.01480409275374, -0.190898299847782, 0.17025730084171, -1.18218791073991, 0.0985971065822646, -0.414107138871293, 0.635680323242051, 0.921596845415455, -1.62519320188582, -0.293437531170625, -0.270837214913677, 1.09362205510948, 2.24491519287608, 0.119762239977126, -1.29059868117272, 0.279074299643487, -0.402251845654151, -0.977697439465245, 0.73935613642603, 0.402321704362338, 0.00131305857098014, 0.602207238510888, -0.0769736359624334, 1.76844939479464, -0.432423930474217, 2.60957907815952, 0.563906379774011, 0.864510214538611, -1.97054755006972, 0.777163993018169, 0.0192037766193505, -1.2830703748334, 0.394839093492047, -0.825187691363217, -0.328126008824764, statistic(X, Xk, y) 28: -0.893557154514444, -0.280569755460902, -0.137450395277284, -0.838248759208756, -0.590870397472855, 1.94679822709445, 0.752380648322755, 0.607522171118381, 0.751227711105572, 0.652437778758139, 0.259373938990219, -2.06555989785115, knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... 0.378679371619813, 0.404005228709566, -2.00936780045483, -1.1674776360952, -1.18782965692454, -1.76589354927128, 2.43462298537788, -1.53932401262678, 0.919882395422919, -0.769061978183981, 1.1083382233042, 0.0771790278786147, -0.102758822501626, -1.28323023886855, 0.771005237028667, 0.884145603807911, 0.107349506015691, 0.648789019320936, -1.26868903335698, 1.99708697828296, 0.831465733770287, 1.58004207564748, 0.0401242369220922, 1.10694491097889, 1.01660427453069, -1.42423230866411, -0.640907198036754, -0.486807344720309, -0.850961697085845, -0.637704538624238, -0.340002965153252, -1.81360165335921, 0.993032820491778, 0.159958213282316, 0.499326715953293, 0.533889405626343, -0.412353360227131, -0.432415181958002, 0.573258494094754, 0.611408943012162, 0.786478939548949, -0.94235312205509, 1.44043344532587, -0.992920413031999, 0.34176055939669, -1.3616754135061, -1.73788844787425, -0.0404255196343263, 0.998296498651216, -0.785322781461599, 1.4624299298861, 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-1.05321209688739, 0.494235979318938, 2.18920985430838, 0.730514711728527, -0.412031369092688, -1.0510204933252, 0.327753897747732, -0.497765393683735, -0.164690775680996, -0.877320635002788, -0.624590280144141, -0.105659164501549, -2.31676780108091, 0.23483287240135, 0.819703667929469, 0.0965876703558167, 0.202301735851574, 0.89927644551979, -0.334080790368491, -1.1648474191218, 2.07860357115171, 0.884217413171091, -0.543216258798932, -0.653863831125984, 0.473735318832432, -1.16324482296585, -0.969332499364285, -0.427437192765897, -0.386423225090122, -0.501966720876529, 1.97692571277644, 1.63322451598054, 0.515988379149648, 0.57600116391318, -0.292483387028429, -1.54911198056862, -0.025696521526341, -0.342343002481559, -0.0630130729046384, 0.474562817860045, 0.648305848591187, 2.35301647902166, -1.01861999709059, 0.136417692905443, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -0.0465678812137429, 0.517933563530361, 0.635417948752758, -0.895997832057571, -0.676290435218596, 0.622556854177482, 0.146900433152128, -1.66202468624362, -1.10095930501703, -0.226136216083787, -0.706973243484188, 0.349254965543424, -1.16340183424519, 1.52966348111674, 0.823778920330776, -1.71638753826073, 0.313805041746214, 0.517721735919348, -1.21710943324447, -1.27198132109611, -0.422671780695275, -0.325055707435347, 0.881573985203294, -1.13080371724134, 0.657660667837481, 1.9673566235267, -0.0921443668266886), y = c(10.0060431194859, -10.7957550265179, -18.3826562129212, -2.03116927639453, 11.1105459007604, 8.73172424602405, 20.7357655158531, -2.89287244232098, -14.0735629998059, -3.1818781455726, -8.68498564147923, 0.202967839439172, -13.6626854617305, -8.28073346614134, -18.6044712732927, -9.24656062205327, -12.5145663041873, 3.14390224379052, 11.3147537290436, 6.65189162279916, -10.8085590850615, 11.4212040365199, 3.83881941831794, 3.31475444869452, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-2.29031749015963, -1.36184548814025, 0.392596468870937, 0.109427447325672, 2.14813206801029, -0.0124953265399268, -1.38231290160394, 0.0132449593663705, -1.19551640355375, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.590944016006711, -0.384828874562752, -0.862889448370133, -0.785655199467656, -0.148983535412102, 0.0527774938826198, -0.208164055388184, 0.85842250305929, -0.607657973242432, 0.484569434497438, -0.407037307483899, 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0.630127566957426, -0.225044963997591, 0.57600116391318, -0.292483387028429, 0.528436375524047, 1.65979764946917, 0.648305848591187, 2.35301647902166, 1.29456537655635, -1.01861999709059, 0.621583927869213, -0.738353042299165, -0.0465678812137429, 1.51706949884474, 1.02470255994038, 0.635417948752758, 1.16292033782413, -0.676290435218596, 0.622556854177482, 0.221248384886406, -1.6827376240604, 0.146900433152128, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.930750776451752, 0.349254965543424, -1.16340183424519, -0.932948424860186, 0.282469870623761, -1.21710943324447, -1.27198132109611, 0.734558507053567, -0.422671780695275, -1.13080371724134, 0.657660667837481, 1.9673566235267), y = c(1.36455146549798, -19.298534993808, 10.0060431194859, -16.960851676496, -18.3826562129212, -2.03116927639453, -20.2249403972771, -15.249369531479, 11.1105459007604, 5.90172525990606, 20.7357655158531, -2.89287244232098, -5.14378880434676, -0.377248798794355, -3.1818781455726, -8.68498564147923, -2.28063445072232, -19.053273728511, -12.5145663041873, 3.14390224379052, -8.70558699125535, 11.3147537290436, 11.4212040365199, 3.83881941831794, 3.31475444869452), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.497385784376131, 0.109427447325672, 0.369730587231628, -0.0124953265399268, 0.422120338844796, -1.38231290160394, 0.61639251913841, 0.999862152281694, -0.131035380402158, 1.40505139126812, -1.62180498737223, 0.0269793216173192, -0.862889448370133, -0.785655199467656, 0.193963098805273, 0.702119314562013, -0.068633696125817, 0.484569434497438, -1.0031038879234, -0.407037307483899, -0.54661479412367, 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-14.5661269431648, -14.0735629998059, -3.1818781455726, -8.68498564147923, 5.72149549373033, -8.28073346614134, -18.6044712732927, 11.3147537290436, -4.98046883853199, 11.4212040365199, 3.83881941831794, -26.8153800228268, -16.9067279039585), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... *** caught segfault *** address 0x110, cause 'invalid permissions' *** caught segfault *** address 0x110, cause 'invalid permissions' Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-0.497385784376131, -0.329263458810201, 2.14813206801029, -0.0124953265399268, 1.91356398362494, 0.0132449593663705, 0.61639251913841, 0.999862152281694, -0.131035380402158, -2.50262152979895, 0.925147932061565, 1.32645478405243, -0.384828874562752, -1.62180498737223, 0.0269793216173192, -0.785655199467656, 1.48556666597297, -0.148983535412102, 0.193963098805273, 0.702119314562013, -0.068633696125817, 0.85842250305929, 0.484569434497438, 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-2.77960446940312, 1.12728548651946, 0.244224270569954, 0.080878138458566, 0.370771702704945, 0.227426364534435, -0.997344910274393, 0.242880301804018, 1.30714178663705, -0.0589492478228027, 0.71342138419062, -0.58515402752619, 0.0892870682912178, 0.95930315223558, -0.0199574527351158, 0.604843671560403, 0.494235979318938, 2.18920985430838, 0.337016813050068, 0.205398669876472, -0.412031369092688, -0.362482436128475, 1.94495988032926, 2.38639103748848, -1.0510204933252, 0.327753897747732, 0.13774154709695, 0.0121886461030446, -0.497765393683735, -0.877320635002788, -0.962439645841172, 0.242444567393309, 1.15197321171478, -2.31676780108091, 0.23483287240135, 0.202301735851574, 0.89927644551979, 0.0194456197928905, 2.07860357115171, -0.00094759257249616, -0.893855795889766, -0.969332499364285, -0.427437192765897, -0.520689299988748, -1.37770197013537, -0.501966720876529, -1.21674219540306, 0.366903821235228, -0.0775043851498784, 1.97692571277644, 1.63322451598054, -0.225044963997591, 0.958282033567734, 0.515988379149648, -0.292483387028429, -0.420864025280671, 0.528436375524047, 2.62159903950059, -0.342343002481559, -0.0630130729046384, 2.35301647902166, -1.01861999709059, -1.07460677191658, 0.621583927869213, -0.169105211356617, -1.61469611115815, -0.676290435218596, 0.622556854177482, 0.020015945396685, -1.6827376240604, -1.66202468624362, -0.0938003176542031, 1.79001798478017, 0.890219621027536, -1.10095930501703, -0.226136216083787, 0.930750776451752, 0.459332344538367, -0.706973243484188, -1.16340183424519, -1.10086936580084, -0.932948424860186, -0.962403409950212, -1.71638753826073, 0.313805041746214, -1.27198132109611, -0.422671780695275, 0.437928531993262, -1.13080371724134), y = c(-1.84575738837975, -9.01558859805802, -18.3826562129212, -2.03116927639453, -0.692632428106748, -15.249369531479, 8.73172424602405, 24.1454032132213, -5.58862024667344, -13.969103962324, 20.7357655158531, -2.89287244232098, -0.377248798794355, -14.5661269431648, -14.0735629998059, -8.68498564147923, -11.8250703353458, -2.28063445072232, 5.72149549373033, -8.28073346614134, -18.6044712732927, 3.14390224379052, 11.3147537290436, -4.98046883853199, 11.4212040365199), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Traceback: 1: lars::lars(x, y, max.steps = q, ...) 2: (function (x, y, q, ...) { if (!requireNamespace("lars", quietly = TRUE)) stop("Package ", sQuote("lars"), " needed but not available. Please install the package.") if (is.data.frame(x)) { message("Note: ", sQuote("x"), " is coerced to a model matrix without intercept") x <- model.matrix(~. - 1, x) } fit <- lars::lars(x, y, max.steps = q, ...) selected <- unlist(fit$actions) if (any(selected < 0)) { idx <- which(selected < 0) idx <- c(idx, which(selected %in% abs(selected[idx]))) selected <- selected[-idx] } ret <- logical(ncol(x)) ret[selected] <- TRUE names(ret) <- colnames(x) cf <- fit$beta sequence <- t(cf != 0) return(list(selected = ret, path = sequence))})(x = c(-1.36184548814025, 1.86026729426782, -0.0124953265399268, 0.0132449593663705, 0.61639251913841, 1.40505139126812, 0.925147932061565, 1.32645478405243, -0.590944016006711, -1.62180498737223, 0.0269793216173192, -0.862889448370133, 1.48556666597297, -0.323378716168106, 0.193963098805273, 0.702119314562013, -0.068633696125817, 0.85842250305929, -0.607657973242432, -0.454665712829646, -1.0031038879234, 0.0177286742852289, -0.407037307483899, 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-1.54911198056862, 2.62159903950059, -0.342343002481559, -0.0630130729046384, 2.35301647902166, 1.29456537655635, 0.136417692905443, -1.07460677191658, -0.0403419720204135, 0.621583927869213, -0.738353042299165, -1.34850115368141, 1.02470255994038, 0.837983217684359, 0.622556854177482, -1.6827376240604, -1.66202468624362, 1.699931496446, -1.10095930501703, -0.226136216083787, 0.163423183653266, 0.459332344538367, -0.706973243484188, 0.349254965543424, -1.10086936580084, 1.52966348111674, -0.962403409950212, -1.71638753826073, 0.313805041746214, -1.27198132109611, 0.734558507053567, -0.325055707435347, 0.437928531993262, 0.881573985203294, -1.13080371724134, 0.657660667837481, 0.163013137616148), y = c(-19.298534993808, 9.51570119036855, -2.03116927639453, -15.249369531479, 8.73172424602405, 5.90172525990606, 20.7357655158531, -2.89287244232098, -5.14378880434676, -14.5661269431648, -14.0735629998059, -3.1818781455726, -11.8250703353458, 0.202967839439172, 5.72149549373033, -8.28073346614134, -18.6044712732927, 3.14390224379052, -8.70558699125535, 6.65189162279916, -4.98046883853199, -10.8085590850615, 11.4212040365199, 3.83881941831794, -26.8153800228268), q = 9) 3: do.call(fitfun, c(list(x = x[inbag, ], y = y[inbag, ], q = q), args.fitfun)) 4: fitter(...) 5: doTryCatch(return(expr), name, parentenv, handler) 6: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 7: tryCatchList(expr, classes, parentenv, handlers) 8: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 9: try(fitter(...), silent = TRUE) 10: FUN(X[[nexti]], ...) 11: eval(expr, env) 12: doTryCatch(return(expr), name, parentenv, handler) 13: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 14: tryCatchList(expr, classes, parentenv, handlers) 15: tryCatch(expr, error = function(e) { call <- conditionCall(e) if (!is.null(call)) { if (identical(call[[1L]], quote(doTryCatch))) call <- sys.call(-4L) dcall <- deparse(call, nlines = 1L) prefix <- paste("Error in", dcall, ": ") LONG <- 75L sm <- strsplit(conditionMessage(e), "\n")[[1L]] w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w") if (is.na(w)) w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L], type = "b") if (w > LONG) prefix <- paste0(prefix, "\n ") } else prefix <- "Error : " msg <- paste0(prefix, conditionMessage(e), "\n") .Internal(seterrmessage(msg[1L])) if (!silent && isTRUE(getOption("show.error.messages"))) { cat(msg, file = outFile) .Internal(printDeferredWarnings()) } invisible(structure(msg, class = "try-error", condition = e))}) 16: try(eval(expr, env), silent = TRUE) 17: serialize(what, NULL, xdr = FALSE) 18: sendMaster(try(eval(expr, env), silent = TRUE), FALSE) 19: mcparallel(list(FUN(X[[nexti]], ...)), mc.set.seed = mc.set.seed, silent = mc.silent, mc.affinity = affinity.list[[nexti]]) 20: papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...) 21: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 22: suppressWarnings(papply(1:ncol(folds), function(...) try(fitter(...), silent = TRUE), folds = folds, q = q, args.fitfun = args.fitter, mc.preschedule = mc.preschedule, ...)) 23: run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, p = p, cutoff = cutoff, q = q, PFER = PFER, folds = folds, B = B, assumption = assumption, sampling.type = sampling.type, papply = papply, verbose = verbose, FWER = FWER, eval = eval, names = nms, mc.preschedule = mc.preschedule, ...) 24: stabsel.matrix(X, y, cutoff = cutoff, PFER = PFER, ...) 25: stabs::stabsel(X, y, cutoff = cutoff, PFER = PFER, ...) 26: stability_selection_importance(cbind(X.swap, Xk.swap), y, fitfun = fitfun, ...) 27: statistic(X, Xk, y) 28: knockoff.filter(X, y, knockoffs = knockoffs, statistic = stat.stability_selection) An irrecoverable exception occurred. R is aborting now ... Error in run_stabsel(fitter = fit_model, args.fitter = args.fitfun, n = n, : ‘fitfun’ must return a list with a named element called ‘selected’, and an optional second element called ‘path’ Calls: knockoff.filter ... stability_selection_importance -> <Anonymous> -> stabsel.matrix -> run_stabsel Execution halted
checking for unstated dependencies in ‘tests’ ... OK
checking tests ... [4s/4s] OK Running ‘testthat.R’ [4s/4s]
checking for unstated dependencies in vignettes ... OK
checking package vignettes ... OK
checking re-building of vignette outputs ... [14s/13s] OK
checking PDF version of manual ... [2s/2s] OK
DONE Status: 1 ERROR, 1 NOTE
using check arguments '--no-clean-on-error '