Tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package).

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Documentation for package ‘lmerTest’ version 1.2-0

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lmerTest-package The package performs different kinds of tests on lmer objects, such as F tests of type 3 hypothesis for the fixed part, log-likelihood ratio tests for the random part, least squares means (population means) and differences of least squares means for the factors of the fixed part with corresponding plots. The package also provides with a function step, that preforms backward elimination of non-significant effects, starting from the random effects, and then fixed ones.
anova-method Mixed Model Representations
carrots Consumer preference mapping of carrots
difflsmeans Calculates Differences of Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object.
ham Conjoint study of dry cured ham
lmer Fit Linear Mixed-Effects Models
lmerTest The package performs different kinds of tests on lmer objects, such as F tests of type 3 hypothesis for the fixed part, log-likelihood ratio tests for the random part, least squares means (population means) and differences of least squares means for the factors of the fixed part with corresponding plots. The package also provides with a function step, that preforms backward elimination of non-significant effects, starting from the random effects, and then fixed ones.
lsmeans Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object.
merLmerTest-class Mixed Model Representations
rand Performs log-likelihood ratio test on random effects of linear mixed effects model.
step Performs backward elimination of non-significant effects of linear mixed effects model:
summary-method Mixed Model Representations
summary.merLmerTest-class Mixed Model Representations
TVbo TV dataset