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'))

Peer review:

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

On CRAN:

3.70 score 2 scripts 167 downloads 3 exports 71 dependencies

Last updated 1 months agofrom:632d549679. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winNOTENov 08 2024
R-4.4-macNOTENov 08 2024
R-4.3-winNOTENov 08 2024
R-4.3-macNOTENov 08 2024

Exports:extract_equationextract_structureextract_variables

Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayoncurlDiagrammeRDiagrammeRsvgdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrstudioapirsvgsassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8V8vctrsviridisLitevisNetworkvroomwithrxfunyaml

Introduction to LearnVizLMM

Rendered fromLearnVizLMM.Rmdusingknitr::rmarkdownon Nov 08 2024.

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