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lmerTest (version 3.1-1)

Tests in Linear Mixed Effects Models

Description

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.

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Version

Install

install.packages('lmerTest')

Monthly Downloads

71,475

Version

3.1-1

License

GPL (>= 2)

Issues

15

Pull Requests

0

Stars

53

Forks

9

Maintainer

Sofie Poedenphant

Last Published

December 13th, 2019

Functions in lmerTest (3.1-1)

get_model

Extract Model from an Object
lmerTest-package

lmerTest: Tests in Linear Mixed Effects Models
ranova

ANOVA-Like Table for Random-Effects
step.lmerModLmerTest

Backward Elimination for Linear Mixed Models
ls_means

LS-means Generic Function
rbindall

rbind Multiple Objects
get_model_matrix

Extract or remake model matrix from model
summary.lmerModLmerTest

Summary Method for Linear Mixed Models
get_Fstat_ddf

Compute denominator df for F-test
containment

Determine the Containment Structure for All Terms in a Model
get_contrasts_type1

Type I ANOVA table contrasts
drop1.lmerModLmerTest

Drop Marginal Terms from Model
ls_means.lmerModLmerTest

LS-means for lmerTest Model Fits
devfun_vp

Compute Deviance of an LMM as a Function of Variance Parameters
merModLmerTest-class

Legacy lmerTest representation of Linear Mixed-Effects Models
lmer

Fit Linear Mixed-Effects Models
show_tests

Show Tests Generic Function and Default Method
nullspace

Nullspace
doolittle

Doolittle Decomposition
plot.ls_means

Bar Plots of LS-Means
single_anova

ANOVA Tables for Linear Mixed Models
lmerModLmerTest-class

Represent Linear Mixed-Effects Models
rm_complete_terms

Remove Terms from Formula
term_contain

Determine which Terms Contain a Term
ensure_full_rank

Ensure a Design Matrix has Full (Column) Rank
ham

Conjoint Study of Dry Cured Ham
get_rdX

Compute the 'Full' Rank-Deficient Design Matrix
get_contrasts_type3

Contrasts for Type III Tests
is_estimable

Estimability of Contrasts
anova.merModLmerTest

Methods for Legacy lmerTest Objects
get_covbeta

Compute cov(beta) as a Function of varpar of an LMM
show_tests.ls_means

Show LS-means Hypothesis Tests and Contrasts
show_tests.anova

Show Hypothesis Tests in ANOVA Tables
plot.step_list

Plot LS-means for Backward Reduced Model
step

Generic Step Function
qform

Compute Quadratic Form
contestMD.lmerModLmerTest

Multiple Degrees-of-Freedom Contrast Tests
contest.lmerModLmerTest

Test of Contrasts
anova.lmerModLmerTest

ANOVA Tables for Linear Mixed Models
contest1D.lmerModLmerTest

Contrast Tests in 1D
as.data.frame.ls_means

Coerce ls_means Objects to data.frames
TVbo

Sensory Assesment of B&O TVs
contest

Generic Contrast Test Functions
carrots

Consumer Preference Mapping of Carrots
as_lmerModLmerTest

Coerce lmerMod Objects to lmerModLmerTest