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

Begin fit attempt 1 of at maximum 16 tries
Error in runHelper(model, frontendStart, intervals, silent, suppressWarnings,  : 
  Attempted to set row and column (1, 1) in algebra "ctsem.discreteDRIFT_i3 arg 0" with dimensions 0 x 0.

 Fit attempt generated errors

Begin fit attempt 2 of at maximum 16 tries

 Lowest minimum so far:  16731.2801022022
Error in eigen(fit$output$calculatedHessian, symmetric = T, only.values = T) : 
  infinite or missing values in 'x'

 Eigenvalues of Hessian could not be calculated

Begin fit attempt 3 of at maximum 16 tries

 Lowest minimum so far:  4718.41277567749

 Not all eigenvalues of Hessian are greater than 0: 9492.6814078849, 2374.23607825735, 1097.2613337692, 311.671931569775, 249.789995016178, 196.824329721417, 114.712595503086, 36.7094394559325, 21.1894280261706, 0.00127331849772145, 0.000804907577667918, 0.000000305923479119676, 1.95617772710243e-21, -2.26727773099804e-19, -0.00000000000000210601109606258, -0.0000000819190355577517

Begin fit attempt 4 of at maximum 16 tries

 Lowest minimum so far:  4718.15674883507

 Not all eigenvalues of Hessian are greater than 0: 9275.91109540151, 2380.96508490923, 1032.18840139609, 302.677713400055, 258.803538676843, 175.729678372449, 109.867330439412, 43.0898016649808, 21.5418844546363, 0.000925312164676242, 0.0000307610761771875, 0.0000016753864723605, 2.4804114889388e-23, -1.39791775925758e-20, -0.0000000000000433138078741889, -0.00000119095617290891

Begin fit attempt 5 of at maximum 16 tries

 Fit attempt worse than current best:  4866.23323112589 vs 4718.15674883507

Begin fit attempt 6 of at maximum 16 tries

 Fit attempt generated errors

Begin fit attempt 7 of at maximum 16 tries

 Lowest minimum so far:  4718.14061494089

Solution found

Running ctsemCarefulFit with 15 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4196.73541494076

Solution found

NPSOL optimizer not available - switching to CSOLNP - consider installing OpenMx using command:  source('http://openmx.psyc.virginia.edu/getOpenMx.R') 
Running ctsem with 16 parameters

 *** caught segfault ***
address fa120350, cause 'memory not mapped'

Traceback:
 1: runHelper(model, frontendStart, intervals, silent, suppressWarnings,     unsafe, checkpoint, useSocket, onlyFrontend, useOptimizer)
 2: mxRun(ctfitobj$mxobj, intervals = TRUE)
 3: ctCI(example1fit, confidenceintervals = "DRIFT")
 4: eval(expr, envir, enclos)
 5: eval(expr, envir, enclos)
 6: withVisible(eval(expr, envir, enclos))
 7: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,     error = eHandler, message = mHandler)
 8: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,     enclos)), warning = wHandler, error = eHandler, message = mHandler))
 9: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
10: evaluate_call(expr, parsed$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)
11: evaluate::evaluate(...)
12: 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$render,         options))
13: in_dir(input_dir(), evaluate(code, envir = env, new_device = FALSE,     keep_warning = !isFALSE(options$warning), keep_message = !isFALSE(options$message),     stop_on_error = if (options$error && options$include) 0L else 2L,     output_handler = knit_handlers(options$render, options)))
14: block_exec(params)
15: call_block(x)
16: process_group.block(group)
17: process_group(group)
18: 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$get("infile"),             ") ")    })
19: process_file(text, output)
20: (if (grepl("\\.[Rr]md$", file)) knit2html_v1 else if (grepl("\\.[Rr]rst$",     file)) knit2pandoc else knit)(file, encoding = encoding,     quiet = quiet, envir = globalenv())
21: engine$weave(file, quiet = quiet, encoding = enc)
22: doTryCatch(return(expr), name, parentenv, handler)
23: tryCatchOne(expr, names, parentenv, handlers[[1L]])
24: tryCatchList(expr, classes, parentenv, handlers)
25: 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)})
26: buildVignettes(dir = "/home/ripley/R/packages/tests32/ctsem.Rcheck/vign_test/ctsem")
An irrecoverable exception occurred. R is aborting now ...