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:
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