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lmerTest (version 2.0-33)

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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Install

install.packages('lmerTest')

Monthly Downloads

57,616

Version

2.0-33

License

GPL (>= 2)

Last Published

December 3rd, 2016

Functions in lmerTest (2.0-33)

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.
lsmeans

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

Methods for Function summary in Package lmerTest
calcSatterth

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

Methods for function anova in package lmerTest
TVbo

TV dataset
difflsmeans

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

Consumer preference mapping of carrots
merModLmerTest-class

Mixed Model Representations
lsmeansLT

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

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

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

Fit Linear Mixed-Effects Models
ham

Conjoint study of dry cured ham