Datasets and utilities for teaching linear models in the context of the BetaBit universe (StatPunk). The package provides simulated datasets based on the fictional LifeCalc algorithmic scoring system, illustrating concepts such as simple regression, ANOVA, ANCOVA, hierarchical models, multicollinearity, model selection (AIC, BIC), and regularisation (LASSO, Ridge). Each dataset is accompanied by a narrative context connecting statistical methodology to questions of algorithmic fairness and social consequence.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, patchwork |
| Suggests: | MASS, effectsize, segmented, glmnet, car, emmeans, lme4, testthat (≥ 3.0.0), knitr, rmarkdown, pkgdown |
| Published: | 2026-08-07 |
| DOI: | 10.32614/CRAN.package.RougeLM |
| Author: | Przemyslaw 'Prem' Biecek [aut, cre], Bit Data [aut], Beta Data [aut] |
| Maintainer: | Przemyslaw 'Prem' Biecek <przemyslaw.biecek at gmail.com> |
| BugReports: | https://github.com/BetaAndBit/RougeLM/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/BetaAndBit/RougeLM |
| NeedsCompilation: | no |
| CRAN checks: | RougeLM results |
| Reference manual: | RougeLM.html , RougeLM.pdf |
| Vignettes: |
The Story: Equations from District 7 (source, R code) |
| Package source: | RougeLM_1.0.0.tar.gz |
| Windows binaries: | r-devel: RougeLM_1.0.0.zip, r-release: RougeLM_1.0.0.zip, r-oldrel: RougeLM_1.0.0.zip |
| macOS binaries: | r-release (arm64): RougeLM_1.0.0.tgz, r-oldrel (arm64): RougeLM_1.0.0.tgz, r-release (x86_64): RougeLM_1.0.0.tgz, r-oldrel (x86_64): RougeLM_1.0.0.tgz |
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