Running examples in ‘SensMixed-Ex.R’ failed
The error most likely occurred in:

> ### Name: TVbo
> ### Title: TV dataset
> ### Aliases: TVbo
> ### Keywords: datasets
> 
> ### ** Examples
> 
> ## import SensMixed package
> library(SensMixed)
> 
> ## convert some variables to factors in TVbo
> TVbo <- convertToFactors(TVbo, c("Assessor", "Repeat", "Picture"))
> 
> ## run automated selection process
> res <- sensmixed(c("Coloursaturation", "Colourbalance"),
+ prod_effects = c("TVset", "Picture"), 
+ assessor="Assessor", data=TVbo, MAM=FALSE)

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 *** caught segfault ***
address e, cause 'memory not mapped'

Traceback:
 1: vapply(Ztlist, nrow, 1L)
 2: checkZdims(reTrms$Ztlist, n = n, control, allow.n = FALSE)
 3: lme4::lFormula(formula = Coloursaturation <f0><ff>
 TVset + (1 | TVset:Assessor) +     Picture + (1 | TVset:Picture:Assessor) + (1 | Assessor) +     TVset:Picture, data = data, contrasts = list(TVset = "contr.SAS",     Picture = "contr.SAS"), control = list(optimizer = "bobyqa",     restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE,     use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore",         check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore",         check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop",         check.rankX = "message+drop.cols", check.scaleX = "warning",         check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(        action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(        action = "ignore", tol = 1e-04), check.conv.hess = list(        action = "warning", tol = 1e-06)), optCtrl = list()))
 4: eval(expr, envir, enclos)
 5: eval(mc, parent.frame(1L))
 6: lme4::lmer(formula = Coloursaturation <f0><ff>
 TVset + (1 | TVset:Assessor) +     Picture + (1 | TVset:Picture:Assessor) + (1 | Assessor) +     TVset:Picture, data = data, contrasts = list(TVset = "contr.SAS",     Picture = "contr.SAS"))
 7: eval(expr, envir, enclos)
 8: eval(call, envir = ff)
 9: doTryCatch(return(expr), name, parentenv, handler)
10: tryCatchOne(expr, names, parentenv, handlers[[1L]])
11: tryCatchList(expr, classes, parentenv, handlers)
12: tryCatch(eval(call, envir = ff), error = function(e) {    tryCatch(eval(call, envir = sf), error = function(e) {        tryCatch(eval(call, envir = pf), error = function(e) {            eval(call, envir = ff2)        })    })})
13: updateModel(model, mf.final = mf.final, change.contr = change.contr)
14: `\030\\l\fnit`(rho, model, change.contr)
15: stepFun(model = model, ddf = ddf, type = type, alpha.random = alpha.random,     alpha.fixed = alpha.fixed, reduce.fixed = reduce.fixed, reduce.random = reduce.random,     fixed.calc = fixed.calc, lsmeans.calc = lsmeans.calc, difflsmeans.calc = difflsmeans.calc,     test.effs = test.effs, keep.effs = keep.effs, change.contr = TRUE)
16: step(m, reduce.fixed = FALSE, reduce.random = reduce.random,     alpha.random = alpha.random, alpha.fixed = alpha.fixed, lsmeans.calc = TRUE,     difflsmeans.calc = calc_post_hoc, keep.effs = keep.effs)
17: withCallingHandlers(expr, message = function(c) invokeRestart("muffleMessage"))
18: suppressMessages(st <- step(m, reduce.fixed = FALSE, reduce.random = reduce.random,     alpha.random = alpha.random, alpha.fixed = alpha.fixed, lsmeans.calc = TRUE,     difflsmeans.calc = calc_post_hoc, keep.effs = keep.effs))
19: .fun(piece, ...)
20: (function (i) {    piece <- pieces[[i]]    if (.inform) {        res <- try(.fun(piece, ...))        if (inherits(res, "try-error")) {            piece <- paste(utils::capture.output(print(piece)),                 collapse = "\n")            stop("with piece ", i, ": \n", piece, call. = FALSE)        }    }    else {        res <- .fun(piece, ...)    }    progress$step()    res})(1L)
21: .Call(loop_apply_, as.integer(n), f, env)
22: loop_apply(n, do.ply)
23: llply(attributes, .stepAllAttrNoMAM, product_structure = product_structure,     error_structure = error_structure, data = data, prod_effects = prod_effects,     random = random, reduce.random = rmatch(control, "reduce.random"),     alpha.random = rmatch(control, "alpha.random"), alpha.fixed = rmatch(control,         "alpha.fixed"), calc_post_hoc = rmatch(control, "calc_post_hoc"),     keep.effs = keep.effs, .progress = "text")
24: sensmixedFun(attributes = attributes, prod_effects = prod_effects,     assessor = assessor, replication = replication, data = data,     product_structure = product_structure, error_structure = error_structure,     MAM = MAM, control = control)
25: sensmixed(c("Coloursaturation", "Colourbalance"), prod_effects = c("TVset",     "Picture"), assessor = "Assessor", data = TVbo, MAM = FALSE)
An irrecoverable exception occurred. R is aborting now ...