Package: LearnVizLMM 1.0.0

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.

Authors:Katherine Zavez [aut, cre], Ofer Harel [aut]

LearnVizLMM_1.0.0.tar.gz
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LearnVizLMM.pdf |LearnVizLMM.html
LearnVizLMM/json (API)
NEWS

# Install 'LearnVizLMM' in R:
install.packages('LearnVizLMM', repos = c('https://kzavez.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kzavez/learnvizlmm/issues

On CRAN:

3.70 score 2 scripts 149 downloads 3 exports 71 dependencies

Last updated 4 months agofrom:632d549679. Checks:4 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 06 2025
R-4.5-winOKFeb 06 2025
R-4.5-macOKFeb 06 2025
R-4.5-linuxOKFeb 06 2025
R-4.4-winNOTEFeb 06 2025
R-4.4-macNOTEFeb 06 2025
R-4.3-winNOTEFeb 06 2025
R-4.3-macNOTEFeb 06 2025

Exports:extract_equationextract_structureextract_variables

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayoncurlDiagrammeRDiagrammeRsvgdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrstudioapirsvgsassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8V8vctrsviridisLitevisNetworkvroomwithrxfunyaml

Introduction to LearnVizLMM

Rendered fromLearnVizLMM.Rmdusingknitr::rmarkdownon Feb 06 2025.

Last update: 2024-10-09
Started: 2024-10-09