Error in re-building vignettes:
  ...
Observations with missing time information found - removing 1 rows
Discrete time points created:  4
Extracting first non-missing value for time independent predictors
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
Running ctsemCarefulFit with 16 parameters
Error : The job for model 'ctsemCarefulFit' exited abnormally with the error message: Non-conformable matrices 'ctsem.asymDIFFUSIONalg arg 0' 0x0 and 'ctsem.asymDIFFUSIONalg arg 1' 4x1 in matrix multiply
Error in lapply(model@matrices, getParametersHelper, model@name, free,  : 
  trying to get slot "matrices" from an object (class "try-error") that is not an S4 object 

Begin fit attempt 1 of at maximum 16 tries

 *** caught segfault ***
address 8, cause 'memory not mapped'

Traceback:
 1: runHelper(model, frontendStart, intervals, silent, suppressWarnings,     unsafe, checkpoint, useSocket, onlyFrontend, useOptimizer)
 2: mxRun(model, suppressWarnings = T, unsafe = T, silent = T, intervals = FALSE)
 3: doTryCatch(return(expr), name, parentenv, handler)
 4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 5: tryCatchList(expr, classes, parentenv, handlers)
 6: 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)[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))})
 7: try(mxRun(model, suppressWarnings = T, unsafe = T, silent = T,     intervals = FALSE))
 8: withCallingHandlers(expr, warning = function(w) invokeRestart("muffleWarning"))
 9: suppressWarnings(try(mxRun(model, suppressWarnings = T, unsafe = T,     silent = T, intervals = FALSE)))
10: mxTryHard(model, initialTolerance = 0.00000000000001, initialGradientIterations = 1,     showInits = showInits, checkHess = TRUE, greenOK = FALSE,     iterationSummary = iterationSummary, bestInitsOutput = FALSE,     verbose = verbose, extraTries = retryattempts, loc = 0.5,     scale = 0.2, paste = FALSE)
11: ctFit(dat = ctExample1, ctmodelobj = example1model)
12: eval(expr, envir, enclos)
13: eval(expr, envir, enclos)
14: withVisible(eval(expr, envir, enclos))
15: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,     error = eHandler, message = mHandler)
16: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,     enclos)), warning = wHandler, error = eHandler, message = mHandler))
17: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
18: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos,     debug = debug, last = i == length(out), use_try = stop_on_error !=         2L, keep_warning = keep_warning, keep_message = keep_message,     output_handler = output_handler, include_timing = include_timing)
19: evaluate::evaluate(...)
20: evaluate(code, envir = env, new_device = FALSE, keep_warning = !isFALSE(options$warning),     keep_message = !isFALSE(options$message), stop_on_error = if (options$error &&         options$include) 0L else 2L, output_handler = knit_handlers(options$render,         options))
21: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE,     keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message),     stop_on_error = if (options$error && options$include) 0L else 2L,     output_handler = knit_handlers(options$render, options)))
22: block_exec(params)
23: call_block(x)
24: process_group.block(group)
25: process_group(group)
26: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group),     error = function(e) {        setwd(wd)        cat(res, sep = "\n", file = output %n% "")        message("Quitting from lines ", paste(current_lines(i),             collapse = "-"), " (", knit_concord$get("infile"),             ") ")    })
27: process_file(text, output)
28: (if (grepl("\\.[Rr]md$", file)) knit2html_v1 else if (grepl("\\.[Rr]rst$",     file)) knit2pandoc else knit)(file, encoding = encoding,     quiet = quiet, envir = globalenv())
29: engine$weave(file, quiet = quiet, encoding = enc)
30: doTryCatch(return(expr), name, parentenv, handler)
31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
32: tryCatchList(expr, classes, parentenv, handlers)
33: tryCatch({    engine$weave(file, quiet = quiet, encoding = enc)    setwd(startdir)    find_vignette_product(name, by = "weave", engine = engine)}, error = function(e) {    stop(gettextf("processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)), domain = NA, call. = FALSE)})
34: buildVignettes(dir = "/home/ripley/R/packages/tests32/ctsem.Rcheck/vign_test/ctsem")
An irrecoverable exception occurred. R is aborting now ...