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lmerTest (version 2.0-6)

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

Description

The package provides different kinds of tests on lmer objects (of lme4 package). The tests comprise type 3 and type 1 F tests for fixed effects, LRT tests for random effects, calculation of population means for fixed factors with confidence intervals and corresponding plots. Package also provides backward elimination of non-significant effects

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Version

Install

install.packages('lmerTest')

Monthly Downloads

71,475

Version

2.0-6

License

GPL (>= 2)

Maintainer

Alexandra Kuznetsova

Last Published

February 24th, 2014

Functions in lmerTest (2.0-6)

Methods for function anova in package lmerTest

Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object.

Conjoint study of dry cured ham

Fit Linear Mixed-Effects Models

summary-methods

Methods for Function summary in Package lmerTest

Consumer preference mapping of carrots

Calculates Differences of Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object.

Performs likelihood ratio test on random effects of linear mixed effects model.

Performs backward elimination of non-significant effects of linear mixed effects model:

lmerTest-package

The package performs different kinds of tests on lmer objects, such as F tests of type 3/type 1 hypotheses for the fixed part, 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.

merModLmerTest-class

Mixed Model Representations