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lmerTest (version 2.0-32)

Tests in Linear Mixed Effects Models

Description

Different kinds of tests for linear mixed effects models as implemented in 'lme4' package are provided. The tests comprise types I - III F tests for fixed effects, LR tests for random effects. The package also provides the calculation of population means for fixed factors with confidence intervals and corresponding plots. Finally the backward elimination of non-significant effects is implemented.

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Version

Install

install.packages('lmerTest')

Monthly Downloads

66,215

Version

2.0-32

License

GPL (>= 2)

Maintainer

Alexandra Kuznetsova

Last Published

June 22nd, 2016

Functions in lmerTest (2.0-32)

lmerTest-package

The package performs different kinds of tests on lmer objects, such as F tests of types I - III 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.

Consumer preference mapping of carrots

Methods for function anova in package lmerTest

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.

Fit Linear Mixed-Effects Models

summary-methods

Methods for Function summary in Package lmerTest

Conjoint study of dry cured ham

merModLmerTest-class

Mixed Model Representations

F-test based on the Satterthwaite's approximation for denominator degrees of freedom.

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