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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidyfit to link to this page.
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