Email this article 
Hide
Show all
| 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. | ||||
|
Page views:: 25211. Submitted: 2016-06-30. Published: 2017-12-06. |
|||||
| Paper: |
lmerTest Package: Tests in Linear Mixed Effects Models
Download PDF
(Downloads: 16945)
|
||||
| Supplements: |
| ||||
| DOI: |
10.18637/jss.v082.i13
|
This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |