FCO

examples

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

> ### Name: flex_co
> ### Title: Obtain flexible cutoffs for one or two models
> ### Aliases: flex_co
> 
> ### ** Examples
> 
> #Note: Demonstration only! Please use higher numbers of replications for your applications (>= 500).
> #A single model to obtain fit indices for
> mod <- "
+ F1 =~ Q5 + Q7 + Q8
+ F2 =~ Q2 + Q4
+ F3 =~ Q10 + Q11 + Q12 + Q13 + Q18 + Q19 + Q20 + Q21 + Q22
+ F4 =~ Q1 + Q17
+ F5 =~ Q6 + Q14 + Q15 + Q16
+ "
> fits.single <- gen_fit(mod1 = mod, x = bb1992, rep = 10, standardized = FALSE)
Warning in pop_mod(mod = mod1, x = x, type = type, standardized = standardized) :
  All loadings are < 1. Consider revision of standardized.

 *** caught segfault ***
address 0x110, cause 'invalid permissions'

 *** caught segfault ***
address 0x110, cause 'invalid permissions'

Traceback:
 1: lav_samplestats_Gamma(Y = Y, x.idx = x.idx[[g]], cluster.idx = cluster.idx,     fixed.x = fixed.x, conditional.x = cond
...[truncated]...
visible(structure(msg, class = "try-error", condition = e))})
20: try(lapply(X = S, FUN = FUN, ...), silent = TRUE)
21: sendMaster(try(lapply(X = S, FUN = FUN, ...), silent = TRUE))
22: FUN(X[[i]], ...)
23: lapply(seq_len(cores), inner.do)
24: parallel::mclapply(1:rep, function(r) {    generator(x = x, n = n, seed = seeds[r], mode = mode, pop.mod1 = pop.mod,         free1 = free, s = s, k = k, nf = nf)}, mc.cores = cores)
25: gen_fit(mod1 = mod, x = bb1992, rep = 10, standardized = FALSE)
An irrecoverable exception occurred. R is aborting now ...
Warning in parallel::mclapply(1:rep, function(r) { :
  scheduled cores 1, 2 did not deliver results, all values of the jobs will be affected
> flex_co(fits = fits.single, index = c("CFI", "SRMR"))
Warning in flex_co(fits = fits.single, index = c("CFI", "SRMR")) :
  The number of replications is lower than the recommended minimum of 500. Consider with care.
Error in fits.nna[[1]] : subscript out of bounds
Calls: flex_co -> %in%
Execution halted

tests

Running ‘testthat.R’ [9s/6s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(FCO)
  > 
  > test_check("FCO")
  This is lavaan 0.6-21
  lavaan is FREE software! Please report any bugs.
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
   *** caught segfault ***
  address 0x110, cause 'invalid permissions'
  
  Traceback:
   1: lav_samplestats_Gamma(Y = Y, x.idx = x.idx[[g]], cluster.idx = cluster.idx,     fixed.x = fixed.x, conditional.x = conditional.x, meanstructure = meanstructure,     slopestructure = conditional.x, gamma.n.minus.one = lavoptions$gamma.n.minus.one,     unbiased = lavoptions$gamma.unbiased, Mplus.WLS = FALSE)
   2: lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions,     WLS.V = WLS.V, NACOV = NACOV)
   3: lav_lavaan_step05_samplestats(slotSampleStats = slotSampleStats,     lavdata = lavdata, lavoptions = lavoptions, WLS.V = WLS.V,     NACOV = NACOV, sample.cov = sample.co
...[truncated]...
─ Error ('test-recommend_dv.R:57:13'): Is the proper dv technique used? constraining? ──
  Error in `recommend_dv(fits = fits.dv.con, )`: Only dual model fit indices are supported so far for this function. Please revise or use flex_co.
  Backtrace:
      ▆
   1. ├─base::suppressWarnings(recommend_dv(fits = fits.dv.con, )) at test-recommend_dv.R:57:13
   2. │ └─base::withCallingHandlers(...)
   3. └─FCO::recommend_dv(fits = fits.dv.con, )
  ── Error ('test-recommend_dv.R:65:13'): Is the result rounded properly? ────────
  Error in `recommend_dv(fits = fits.dv.con, digits = 5)`: Only dual model fit indices are supported so far for this function. Please revise or use flex_co.
  Backtrace:
      ▆
   1. ├─base::suppressWarnings(recommend_dv(fits = fits.dv.con, digits = 5)) at test-recommend_dv.R:65:13
   2. │ └─base::withCallingHandlers(...)
   3. └─FCO::recommend_dv(fits = fits.dv.con, digits = 5)
  
  [ FAIL 14 | WARN 25 | SKIP 0 | PASS 55 ]
  Error:
  ! Test failures.
  Execution halted