LearnVizLMM: Learning and Communicating Linear Mixed Models Without Data

Summarizes characteristics of linear mixed effects models without data or a fitted model by converting code for fitting lmer() from 'lme4' and lme() from 'nlme' into tables, equations, and visuals. Outputs can be used to learn how to fit linear mixed effects models in 'R' and to communicate about these models in presentations, manuscripts, and analysis plans.

Version: 1.0.0
Imports: cli, DiagrammeR, DiagrammeRsvg, dplyr, rsvg, stringr
Suggests: kableExtra, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-09-25
DOI: 10.32614/CRAN.package.LearnVizLMM
Author: Katherine Zavez [aut, cre], Ofer Harel [aut]
Maintainer: Katherine Zavez <Katherine.Zavez at uconn.edu>
BugReports: https://github.com/kzavez/LearnVizLMM/issues
License: GPL (≥ 3)
Copyright: see file COPYRIGHTS
URL: https://github.com/kzavez/LearnVizLMM
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LearnVizLMM results

Documentation:

Reference manual: LearnVizLMM.pdf
Vignettes: Introduction to LearnVizLMM (source, R code)

Downloads:

Package source: LearnVizLMM_1.0.0.tar.gz
Windows binaries: r-devel: LearnVizLMM_1.0.0.zip, r-release: LearnVizLMM_1.0.0.zip, r-oldrel: LearnVizLMM_1.0.0.zip
macOS binaries: r-release (arm64): LearnVizLMM_1.0.0.tgz, r-oldrel (arm64): LearnVizLMM_1.0.0.tgz, r-release (x86_64): LearnVizLMM_1.0.0.tgz, r-oldrel (x86_64): LearnVizLMM_1.0.0.tgz

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