lmerTest Package: Tests in Linear Mixed Effects Models

Пакет lmerTest: критерии в линейных моделях со смешанными эффектами
Per B. Brockhoff, Alexandra Kuznetsova, Rune Haubo Bojesen Christensen
2017-01-01

Kenward-Roger approximationSatterthwaite approximationType I–III ANOVAlinear mixed-effects modelslmerTest package
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects returned by lmer? The lmerTest package extends the 'lmerMod' class of the lme4 package, by overloading the anova and summary functions by providing p values for tests for fixed effects. We have implemented the Satterthwaite's method for approximating degrees of freedom for the t and F tests. We have also implemented the construction of Type I - III ANOVA tables. Furthermore, one may also obtain the summary as well as the anova table using the Kenward-Roger approximation for denominator degrees of freedom (based on the KRmodcomp function from the pbkrtest package). Some other convenient mixed model analysis tools such as a step method, that performs backward elimination of nonsignificant effects - both random and fixed, calculation of population means and multiple comparison tests together with plot facilities are provided by the package as well.
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Additional tools include backward elimination of nonsignificant fixed and random effects, population-mean estimation, multiple comparisons, and plotting facilities.
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It implements the Satterthwaite approximation for denominator degrees of freedom in mixed-model t and F tests.
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It supports summaries and ANOVA tables using the Kenward–Roger denominator-degrees-of-freedom approximation via pbkrtest’s KRmodcomp function.
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The lmerTest package extends lme4’s lmerMod class to provide p-values for fixed-effect t and F tests through overloaded summary and anova functions.
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The package constructs Type I, Type II, and Type III ANOVA tables for linear mixed-effects models.

linear mixed-effects models fitted with lme4's lmer function

p-value testing for fixed effects, including approximate t and F tests, degrees of freedom, and Type I–III ANOVA tables

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2017-01-01
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Per B. Brockhoff
Alexandra Kuznetsova
Rune Haubo Bojesen Christensen
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