This is the repo for the new lmerTest package, the old package is available here.
The lmerTest package provides p-values in type I, II or III anova
and summary
tables for linear mixed models (lmer
model fits cf. lme4) via Satterthwaite's degrees of freedom method; a Kenward-Roger method is also available via the pbkrtest
package. Model selection and assessment methods include step
, drop1
, anova-like
tables for random effects (ranova
), least-square means (LS-means; ls_means
)
and tests of linear contrasts of fixed effects (contest
).
To cite lmerTest in publications use:
Kuznetsova A., Brockhoff P.B. and Christensen R.H.B. (2017). "lmerTest Package: Tests in Linear Mixed Effects Models." Journal of Statistical Software, 82(13), pp. 1โ26. doi: 10.18637/jss.v082.i13.
Corresponding BibTeX entry:
@Article{,
title = {{lmerTest} Package: Tests in Linear Mixed Effects Models},
author = {Alexandra Kuznetsova and Per B. Brockhoff and Rune H. B.
Christensen},
journal = {Journal of Statistical Software},
year = {2017},
volume = {82},
number = {13},
pages = {1--26},
doi = {10.18637/jss.v082.i13},
}
Please raise a new issue! Preferably add code that illustrates the problem using one of the datasets from lmerTest.
Basically there are two options for installing lmerTest:
- Released (stable version) from CRAN: in R run
install.packages("lmerTest")
. - Development version from GitHub: First load the devtools package (and install it if you do not have it) and install the default (master) branch:
library("devtools")
install_github("runehaubo/lmerTestR")
If you haven't already installed a previous version of lmerTest you need to also install dependencies (other packages that lmerTest depends on and requires you to install to function properly). We recommend that you install lmerTest from CRAN (using install.packages("lmerTest")
) before installing from GitHub as described above.
An alternative is to use
library("devtools")
install_github("runehaubo/lmerTestR", dependencies=TRUE)
but that requires you to install all dependent packages from source (which only works if you have the correct compilers installed and set up correctly); installing the pre-compiled packages from CRAN is usually easier.