CRAN Package Check Results for Package semTools

Last updated on 2026-02-14 23:49:40 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.5-7 30.43 223.32 253.75 ERROR
r-devel-linux-x86_64-debian-gcc 0.5-8 17.85 159.61 177.46 OK
r-devel-linux-x86_64-fedora-clang 0.5-7 66.00 369.45 435.45 ERROR
r-devel-linux-x86_64-fedora-gcc 0.5-8 47.00 410.24 457.24 OK
r-devel-macos-arm64 0.5-8 7.00 58.00 65.00 OK
r-devel-windows-x86_64 0.5-7 33.00 241.00 274.00 ERROR
r-patched-linux-x86_64 0.5-7 34.79 264.86 299.65 OK
r-release-linux-x86_64 0.5-7 29.30 267.05 296.35 OK
r-release-macos-arm64 0.5-8 7.00 59.00 66.00 OK
r-release-macos-x86_64 0.5-7 21.00 239.00 260.00 OK
r-release-windows-x86_64 0.5-7 34.00 296.00 330.00 OK
r-oldrel-macos-arm64 0.5-8 7.00 59.00 66.00 OK
r-oldrel-macos-x86_64 0.5-7 20.00 281.00 301.00 OK
r-oldrel-windows-x86_64 0.5-7 41.00 382.00 423.00 OK

Check Details

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 4.554 0.034 6.570 SSpower 4.258 0.116 5.474 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: > ### 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-windows-x86_64