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:
LearnVizLMM_1.0.0.tar.gz
LearnVizLMM_1.0.0.zip(r-4.5)LearnVizLMM_1.0.0.zip(r-4.4)LearnVizLMM_1.0.0.zip(r-4.3)
LearnVizLMM_1.0.0.tgz(r-4.4-any)LearnVizLMM_1.0.0.tgz(r-4.3-any)
LearnVizLMM_1.0.0.tar.gz(r-4.5-noble)LearnVizLMM_1.0.0.tar.gz(r-4.4-noble)
LearnVizLMM_1.0.0.tgz(r-4.4-emscripten)LearnVizLMM_1.0.0.tgz(r-4.3-emscripten)
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
Last updated 1 months agofrom:632d549679. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | NOTE | Nov 08 2024 |
R-4.4-mac | NOTE | Nov 08 2024 |
R-4.3-win | NOTE | Nov 08 2024 |
R-4.3-mac | NOTE | Nov 08 2024 |
Exports:extract_equationextract_structureextract_variables
Dependencies:base64encbitbit64bslibcachemclicliprcolorspacecpp11crayoncurlDiagrammeRDiagrammeRsvgdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsgluehighrhmshtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimemunsellpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppreadrrlangrmarkdownrstudioapirsvgsassscalesstringistringrtibbletidyrtidyselecttinytextzdbutf8V8vctrsviridisLitevisNetworkvroomwithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Model equation in 'LaTeX' format | extract_equation |
Image of the data structure | extract_structure |
Roles of variables | extract_variables |