The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

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.

Version: 3.0
Depends: lme4
Imports: Matrix, LCFdata, fields, mgcv, parallel, methods, graphics
Published: 2020-10-06
DOI: 10.32614/CRAN.package.LMERConvenienceFunctions
Author: Antoine Tremblay, Statistics Canada, and Johannes Ransijn, University of Copenhagen
Maintainer: "Antoine Tremblay, Statistics Canada" <trea26 at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
In views: MixedModels
CRAN checks: LMERConvenienceFunctions results

Documentation:

Reference manual: LMERConvenienceFunctions.pdf

Downloads:

Package source: LMERConvenienceFunctions_3.0.tar.gz
Windows binaries: r-devel: LMERConvenienceFunctions_3.0.zip, r-release: LMERConvenienceFunctions_3.0.zip, r-oldrel: LMERConvenienceFunctions_3.0.zip
macOS binaries: r-release (arm64): LMERConvenienceFunctions_3.0.tgz, r-oldrel (arm64): LMERConvenienceFunctions_3.0.tgz, r-release (x86_64): LMERConvenienceFunctions_3.0.tgz, r-oldrel (x86_64): LMERConvenienceFunctions_3.0.tgz
Old sources: LMERConvenienceFunctions archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LMERConvenienceFunctions to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.