Regularized Linear Modeling with Tidy Data R package tidyfit version 0.7.4 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. Software 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) Johann Pfitzinger <johann.pfitzinger@gmail.com> Comprehensive R Archive Network (CRAN) Johann Pfitzinger [aut, cre] GPL-3 2025-04-29 application/tgz https://CRAN.R-project.org/package=tidyfit doi:10.32614/CRAN.package.tidyfit