Last updated on 2025-12-11 07:49:52 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.5-7 | 28.40 | 219.32 | 247.72 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.5-7 | 20.29 | 144.63 | 164.92 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.5-7 | 151.00 | 285.73 | 436.73 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.5-7 | 148.00 | 285.24 | 433.24 | ERROR | |
| r-devel-windows-x86_64 | 0.5-7 | 30.00 | 230.00 | 260.00 | ERROR | |
| r-patched-linux-x86_64 | 0.5-7 | 31.91 | 261.82 | 293.73 | OK | |
| r-release-linux-x86_64 | 0.5-7 | 31.94 | 259.00 | 290.94 | OK | |
| r-release-macos-arm64 | 0.5-7 | OK | ||||
| r-release-macos-x86_64 | 0.5-7 | 29.00 | 231.00 | 260.00 | OK | |
| r-release-windows-x86_64 | 0.5-7 | 31.00 | 284.00 | 315.00 | OK | |
| r-oldrel-macos-arm64 | 0.5-7 | OK | ||||
| r-oldrel-macos-x86_64 | 0.5-7 | 23.00 | 278.00 | 301.00 | OK | |
| r-oldrel-windows-x86_64 | 0.5-7 | 41.00 | 360.00 | 401.00 | OK |
Version: 0.5-7
Check: examples
Result: ERROR
Running examples in ‘semTools-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: chisqSmallN
> ### Title: Small-_N_ correction for chi^2 test statistic
> ### Aliases: chisqSmallN
>
> ### ** Examples
>
>
> HS.model <- '
+ visual =~ x1 + b1*x2 + x3
+ textual =~ x4 + b2*x5 + x6
+ speed =~ x7 + b3*x8 + x9
+ '
> fit1 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,])
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## test a single model (implicitly compared to a saturated model)
> chisqSmallN(fit1)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit0)():
Unknown argument ‘asymptotic’ for ‘fitMeasures’
$standard
chisq df pvalue
55.138 24.000 0.000
$swain
chisq df pvalue smallN.factor
50.704 24.000 0.001 0.920
$yuan.2015
chisq df pvalue smallN.factor
48.791 24.000 0.002 0.885
>
> ## fit a more constrained model
> fit0 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,],
+ orthogonal = TRUE)
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## compare 2 models
> chisqSmallN(fit1, fit0)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit1)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning in chisqSmallN(fit1, fit0) :
Small-N corrections developed for single models, not for model comparison. Experimentally applying correction to chi-squared difference statistic, which might be invalid.
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Error in chisqSmallN(fit1, fit0) :
Model comparison failed. Try using lavTestLRT() to investigate why.
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
auxiliary 4.707 0.04 6.283
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.5-7
Check: examples
Result: ERROR
Running examples in ‘semTools-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: chisqSmallN
> ### Title: Small-_N_ correction for chi^2 test statistic
> ### Aliases: chisqSmallN
>
> ### ** Examples
>
>
> HS.model <- '
+ visual =~ x1 + b1*x2 + x3
+ textual =~ x4 + b2*x5 + x6
+ speed =~ x7 + b3*x8 + x9
+ '
> fit1 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,])
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## test a single model (implicitly compared to a saturated model)
> chisqSmallN(fit1)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit0)():
Unknown argument ‘asymptotic’ for ‘fitMeasures’
$standard
chisq df pvalue
55.138 24.000 0.000
$swain
chisq df pvalue smallN.factor
50.704 24.000 0.001 0.920
$yuan.2015
chisq df pvalue smallN.factor
48.791 24.000 0.002 0.885
>
> ## fit a more constrained model
> fit0 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,],
+ orthogonal = TRUE)
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## compare 2 models
> chisqSmallN(fit1, fit0)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit1)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning in chisqSmallN(fit1, fit0) :
Small-N corrections developed for single models, not for model comparison. Experimentally applying correction to chi-squared difference statistic, which might be invalid.
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Error in chisqSmallN(fit1, fit0) :
Model comparison failed. Try using lavTestLRT() to investigate why.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.5-7
Check: examples
Result: ERROR
Running examples in ‘semTools-Ex.R’ failed
The error most likely occurred in:
> ### Name: chisqSmallN
> ### Title: Small-_N_ correction for chi^2 test statistic
> ### Aliases: chisqSmallN
>
> ### ** Examples
>
>
> HS.model <- '
+ visual =~ x1 + b1*x2 + x3
+ textual =~ x4 + b2*x5 + x6
+ speed =~ x7 + b3*x8 + x9
+ '
> fit1 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,])
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## test a single model (implicitly compared to a saturated model)
> chisqSmallN(fit1)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit0)():
Unknown argument ‘asymptotic’ for ‘fitMeasures’
$standard
chisq df pvalue
55.138 24.000 0.000
$swain
chisq df pvalue smallN.factor
50.704 24.000 0.001 0.920
$yuan.2015
chisq df pvalue smallN.factor
48.791 24.000 0.002 0.885
>
> ## fit a more constrained model
> fit0 <- cfa(HS.model, data = HolzingerSwineford1939[1:50,],
+ orthogonal = TRUE)
Warning: lavaan->lav_object_post_check():
some estimated ov variances are negative
> ## compare 2 models
> chisqSmallN(fit1, fit0)
Warning: lavaan->class(fit0)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning: lavaan->class(fit1)():
Unknown argument ‘omit.imps’ for ‘fitMeasures’
Warning in chisqSmallN(fit1, fit0) :
Small-N corrections developed for single models, not for model comparison. Experimentally applying correction to chi-squared difference statistic, which might be invalid.
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.robust’ for ‘fitMeasures’
Warning: lavaan->FUN():
Unknown argument ‘pool.method’ for ‘fitMeasures’
Error in chisqSmallN(fit1, fit0) :
Model comparison failed. Try using lavTestLRT() to investigate why.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.