CRAN Package Check Results for Package car

Last updated on 2025-09-11 15:49:23 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.1-3 20.61 147.86 168.47 OK
r-devel-linux-x86_64-debian-gcc 3.1-3 12.88 89.74 102.62 OK
r-devel-linux-x86_64-fedora-clang 3.1-3 251.02 OK
r-devel-linux-x86_64-fedora-gcc 3.1-3 274.67 OK
r-devel-windows-x86_64 3.1-3 21.00 134.00 155.00 ERROR
r-patched-linux-x86_64 3.1-3 22.47 134.35 156.82 OK
r-release-linux-x86_64 3.1-3 18.45 133.33 151.78 OK
r-release-macos-arm64 3.1-3 65.00 OK
r-release-macos-x86_64 3.1-3 134.00 OK
r-release-windows-x86_64 3.1-3 20.00 174.00 194.00 OK
r-oldrel-macos-arm64 3.1-3 52.00 OK
r-oldrel-macos-x86_64 3.1-3 109.00 OK
r-oldrel-windows-x86_64 3.1-3 30.00 205.00 235.00 OK

Check Details

Version: 3.1-3
Check: examples
Result: ERROR Running examples in 'car-Ex.R' failed The error most likely occurred in: > ### Name: S > ### Title: Modified Functions for Summarizing Linear, Generalized Linear, > ### and Some Other Models > ### Aliases: S Confint S.lm S.glm S.default S.multinom S.polr S.lme > ### S.lmerMod S.glmerMod S.data.frame print.S.lm print.S.glm > ### print.S.multinom print.S.polr print.S.lme print.S.lmerMod > ### print.S.glmerMod Confint.lm Confint.glm Confint.multinom Confint.polr > ### Confint.lme Confint.lmerMod Confint.glmerMod Confint.default > ### Keywords: models regression > > ### ** Examples > > mod.prestige <- lm(prestige ~ education + income + type, Prestige) > S(mod.prestige, vcov.=hccm) Call: lm(formula = prestige ~ education + income + type, data = Prestige) Standard errors computed by hccm Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.6229292 5.2381025 -0.119 0.905593 education 3.6731661 0.6982758 5.260 9.16e-07 *** income 0.0010132 0.0002672 3.793 0.000265 *** typeprof 6.0389707 3.7951209 1.591 0.114948 typewc -2.7372307 2.4384681 -1.123 0.264531 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard deviation: 7.095 on 93 degrees of freedom (4 observations deleted due to missingness) Multiple R-squared: 0.8349 F-statistic: 120.2 on 4 and 93 DF, p-value: < 2.2e-16 AIC BIC 669.02 684.52 > S(mod.prestige, brief=TRUE) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.6229292 5.2275255 -0.119 0.905 education 3.6731661 0.6405016 5.735 1.21e-07 *** income 0.0010132 0.0002209 4.586 1.40e-05 *** typeprof 6.0389707 3.8668551 1.562 0.122 typewc -2.7372307 2.5139324 -1.089 0.279 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard deviation: 7.095 on 93 degrees of freedom (4 observations deleted due to missingness) Multiple R-squared: 0.8349 F-statistic: 117.5 on 4 and 93 DF, p-value: < 2.2e-16 AIC BIC 669.02 684.52 > Confint(mod.prestige, vcov.=hccm) Standard errors computed by hccm Estimate 2.5 % 97.5 % (Intercept) -0.622929165 -1.102476e+01 9.778904256 education 3.673166052 2.286529e+00 5.059803411 income 0.001013193 4.826801e-04 0.001543706 typeprof 6.038970651 -1.497387e+00 13.575328718 typewc -2.737230718 -7.579545e+00 2.105083723 > > # A logit model > mod.mroz <- glm(lfp ~ ., data=Mroz, family=binomial) > S(mod.mroz) Error in ll(object) : could not find function "ll" Calls: S -> S.glm -> fitstats -> AIC -> AIC.default Execution halted Flavor: r-devel-windows-x86_64

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