Package: tidyfit
Type: Package
Title: Regularized Linear Modeling with Tidy Data
Date: 2023-11-20
Version: 0.6.5
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>
Description: 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. 
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
URL: https://tidyfit.residualmetrics.com,
        https://github.com/jpfitzinger/tidyfit
Depends: R (>= 3.5)
Imports: broom, crayon, dials, dplyr, furrr, magrittr, MASS, methods,
        progressr, purrr, rlang, rsample, stats, tibble, tidyr, utils,
        yardstick
Suggests: arm, bestglm, BMS, BoomSpikeSlab, CORElearn, e1071, gaselect,
        gets, ggplot2, glmnet, hfr, kableExtra, knitr, lme4, lmtest,
        lubridate, markdown, mboost, monomvn, mRMRe, MSwM, pls,
        quantreg, quantregForest, randomForest, sandwich, shrinkTVP,
        stringr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-11-20 20:07:32 UTC; johann
Repository: CRAN
Date/Publication: 2023-11-20 20:30:02 UTC
Built: R 4.4.0; ; 2024-01-22 16:28:15 UTC; unix
