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 in runHelper(model, frontendStart, intervals, silent, suppressWarnings,  : 
  Element-wise '-' not conformable: 'alg751 arg 0' is 0x0 and 'ctsemCarefulFit.untitled1' is 1x1
alg751 arg 0 =  matrix(c(    # 0x0), byrow=TRUE, nrow=0, ncol=0)
ctsemCarefulFit.untitled1 =  matrix(c(    # 1x1
   1), byrow=TRUE, nrow=1, ncol=1)

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

 Lowest minimum so far:  4176.87456133425

Solution found

Running ctsemCarefulFit with 15 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4196.73541494079

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
Running ctsemCarefulFit with 19 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4151.13132113272

Solution found

Plotting fit
Plotting fit
Running ctsemCarefulFit with 23 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4245.25700751485

Solution found

MANIFESTMEANS contained character labels - setting matrix to 0
MANIFESTVAR contained character labels - setting matrix to diagonal 0.00001
TDPREDVAR contained character labels - setting matrix to diagonal 0.00001
Discrete time points created:  19
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
MANIFESTMEANS contained character labels - setting matrix to 0
MANIFESTVAR contained character labels - setting matrix to diagonal 0.00001
TDPREDVAR contained character labels - setting matrix to diagonal 0.00001
Discrete time points created:  19
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
MANIFESTMEANS contained character labels - setting matrix to 0
MANIFESTVAR contained character labels - setting matrix to diagonal 0.00001
TDPREDVAR contained character labels - setting matrix to diagonal 0.00001
Discrete time points created:  19
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
MANIFESTMEANS contained character labels - setting matrix to 0
MANIFESTVAR contained character labels - setting matrix to diagonal 0.00001
TDPREDVAR contained character labels - setting matrix to diagonal 0.00001
Discrete time points created:  19
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
No missing time dependent predictors - TDPREDVAR and TDPREDMEANS fixed to observed moments for speed
Running ctsemCarefulFit with 18 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  -507.924362203725

Solution found

No missing time dependent predictors - TDPREDVAR and TDPREDMEANS fixed to observed moments for speed
transformedParams=TRUE and non positive DIFFUSION diagonal specified, setting to .00001.
Running ctsemCarefulFit with 18 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  -514.337141221987

 Not all eigenvalues of Hessian are greater than 0: 10061.2958784311, 4495.25517397471, 2953.10196282009, 1027.68797288466, 261.778146752044, 161.323812832903, 138.040364899109, 110.705221846686, 59.2005702390342, 26.0874322048915, 20.8227962359972, 16.9016191380057, 16.0027858772554, 13.2386877610608, 8.88412542916177, 1.57582760137849, 0.925598450443395, -0.00000000132972989441065

Begin fit attempt 2 of at maximum 16 tries

 Lowest minimum so far:  -514.337141221989

Solution found

Single subject dataset or Kalman objective specified - ignoring any specified between subject 
      variance matrices (TRAITVAR, T0TRAITEFFECT,MANIFESTTRAITVAR, TIPREDEFFECT, TIPREDVAR, TDTIPREDCOV, T0TIPREDEFFECT)
Running ctsemCarefulFit with 11 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  -138.198676577193

Solution found

Begin carefulFit start value estimation for group g1
Begin carefulFit start value estimation for group g2

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  -70.8548131942684

Solution found

T0VAR contained character labels - setting matrix to diagonal 0.00001
T0MEANS contained character labels - setting matrix to 0
MANIFESTMEANS contained character labels - setting matrix to 0
Discrete time points created:  200
imputedefs==FALSE (default, recommended) so setting observations with no time value to NA
Plotting rows 1, 
Single subject dataset or Kalman objective specified - ignoring any specified between subject 
      variance matrices (TRAITVAR, T0TRAITEFFECT,MANIFESTTRAITVAR, TIPREDEFFECT, TIPREDVAR, TDTIPREDCOV, T0TIPREDEFFECT)
transformedParams=TRUE and non positive DIFFUSION diagonal specified, setting to .00001.
Running ctsemCarefulFit with 7 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  757.756457036576

Solution found

transformedParams=TRUE and non positive DIFFUSION diagonal specified, setting to .00001.

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  -3462.15389492831

Solution found

Running ctsemCarefulFit with 16 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4190.79777582728

Solution found

Running ctsemCarefulFit with 19 parameters

Begin fit attempt 1 of at maximum 16 tries

 Lowest minimum so far:  4151.13132113271

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 19 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$mxobj, intervals = TRUE)
 3: ctCI(traitfit, confidenceintervals = "DRIFT")
 4: eval(expr, envir, enclos)
 5: eval(expr, envir, enclos)
 6: withVisible(eval(expr, envir, enclos))
 7: withCallingHandlers(withVisible(eval(expr, envir, enclos)), warning = wHandler,     error = eHandler, message = mHandler)
 8: handle(ev <- withCallingHandlers(withVisible(eval(expr, envir,     enclos)), warning = wHandler, error = eHandler, message = mHandler))
 9: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval(expr,     envir, enclos)), warning = wHandler, error = eHandler, message = mHandler)))
10: evaluate_call(expr, parsed$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 ...