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 |
| Package source: | tidyfit_0.7.4.tar.gz |
| Windows binaries: | r-devel: tidyfit_0.7.4.zip, r-release: tidyfit_0.7.4.zip, r-oldrel: tidyfit_0.7.4.zip |
| macOS binaries: | r-release (arm64): tidyfit_0.7.4.tgz, r-oldrel (arm64): tidyfit_0.7.4.tgz, r-release (x86_64): tidyfit_0.7.4.tgz, r-oldrel (x86_64): tidyfit_0.7.4.tgz |
| Old sources: | tidyfit archive |
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