Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
lmerTest Package: Tests in Linear Mixed Effects Models | Kuznetsova | Journal of Statistical Software
Authors: Alexandra Kuznetsova, Per B. Brockhoff, Rune H. B. Christensen
Title: lmerTest Package: Tests in Linear Mixed Effects Models
Abstract: 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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Paper: lmerTest Package: Tests in Linear Mixed Effects Models     Download PDF (Downloads: 194)
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lmerTest_2.0-36.tar.gz: R source package Download (Downloads: 7; 1MB)
v82i13.R: R replication code Download (Downloads: 9; 8KB)

DOI: 10.18637/jss.v082.i13

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