Tests in Linear Mixed Effects Models
ANOVA Tables for Linear Mixed Models
Coerce lmerMod Objects to lmerModLmerTest
Coerce ls_means Objects to data.frames
Test of Contrasts
Generic Contrast Test Functions
Contrast Tests in 1D
Multiple Degrees-of-Freedom Contrast Tests
Drop Marginal Terms from Model
Extract Model from an Object
Methods for Legacy lmerTest Objects
Fit Linear Mixed-Effects Models
Represent Linear Mixed-Effects Models
lmerTest: Tests in Linear Mixed Effects Models
LS-means for lmerTest Model Fits
LS-means Generic Function
Legacy lmerTest representation of Linear Mixed-Effects Models
Bar Plots of LS-Means
Plot LS-means for Backward Reduced Model
ANOVA-Like Table for Random-Effects
Show Hypothesis Tests in ANOVA Tables
Show LS-means Hypothesis Tests and Contrasts
Show Tests Generic Function and Default Method
Backward Elimination for Linear Mixed Models
Generic Step Function
Summary Method for Linear Mixed Models
Provides p-values in type I, II or III anova and summary tables for 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 methods include step, drop1 and anova-like tables for random effects (ranova). Methods for Least-Square means (LS-means) and tests of linear contrasts of fixed effects are also available.