tidyfit: Regularized Linear Modeling with Tidy Data (original) (raw)
An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
| Version: | 0.7.4 |
|---|---|
| Depends: | R (≥ 4.1) |
| Imports: | broom, crayon, dials, dplyr, furrr, generics, MASS, methods, progressr, purrr, rlang, rsample, stats, tibble, tidyr, utils, vctrs, yardstick |
| Suggests: | arm, bestglm, BMS, BoomSpikeSlab, CORElearn, e1071, gaselect, gets, gglasso, ggplot2, glmnet, hfr, iml, kableExtra, knitr, lme4, lmtest, lubridate, markdown, mboost, monomvn, mRMRe, MSwM, nnet, pls, quantreg, quantregForest, randomForest, sandwich, sensitivity, shrinkTVP, stringr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-04-29 |
| DOI: | 10.32614/CRAN.package.tidyfit |
| Author: | Johann Pfitzinger [aut, cre] |
| Maintainer: | Johann Pfitzinger <johann.pfitzinger at gmail.com> |
| License: | GPL-3 |
| URL: | https://tidyfit.residualmetrics.com,https://github.com/jpfitzinger/tidyfit |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | tidyfit results |
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