Package: tidyfit
Type: Package
Title: Regularized Linear Modeling with Tidy Data
Date: 2022-11-25
Version: 0.6.0
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: 7.2.1
URL: https://tidyfit.unchartedml.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, CORElearn, e1071, gets, glmnet, hfr,
        kableExtra, knitr, lme4, lmtest, lubridate, mboost, mRMRe,
        MSwM, pls, quantreg, randomForest, sandwich, shrinkTVP,
        tidyverse, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-25 12:12:11 UTC; johann
Repository: CRAN
Date/Publication: 2022-11-25 12:40:05 UTC
