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LMERConvenienceFunctions (version 3.2)

Model Selection and Post-Hoc Analysis for (G)LMER Models

Description

The main function of the package is to perform backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization. The data to run examples is contained in package LCF_data.

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Version

Install

install.packages('LMERConvenienceFunctions')

Monthly Downloads

423

Version

3.2

License

GPL-2

Maintainer

Antoine Tremblay

Last Published

August 24th, 2026

Functions in LMERConvenienceFunctions (3.2)

plotLMER.fnc

plot a mer object
relLik

Relative log-likehood.
perSubjectTrim.fnc

Per-subject Trimming of Response Variable.
plotLMER3d.fnc

Dynamic 3d plot for mer object.
mcposthoc.fnc

Posthoc analyses for LMER models using parallel capabilities.
pamer.fnc

ANOVA with upper- and lower-bound p-values and R-sqaured values for LMER.
plotRaw3d.fnc

Visualize raw surface averages (3d)
plotDensity3d.fnc

Kernel density estimation for two continuous variables.
mcp.fnc

Model criticism plots.
summary.mcposthoc

Summarize a "mcposthoc" object.
romr.fnc

Exclude outliers.
cdf

Change directory; list files and directories in new directory using function f.
f

List files and directories in current directory.
cd

Change directory.
cdup

Change directory one level up.
ffRanefLMER.fnc

Forward-fit the random effect structure of an LMER model.
cn

List the column names of a data frame in matrix format.
bfFixefLMER_F.fnc

Back-fits an LMER model on p-values from ANOVA, llrt, AIC, BIC, relLik.AIC or relLik.BIC.
fitLMER.fnc

Back-fit fixed effects and forward-fit random effects of an LMER model.
LMERConvenienceFunctions-package

Model Selection and Post-Hoc Analysis for (G)LMER Models
bfFixefLMER_t.fnc

Back-fits an LMER model on absolute t-value and, optionally, on LLRT.