DESCRIPTION

Package: tidyfit
Type: Package
Title: Regularized Linear Modeling with Tidy Data
Date: 2025-01-14
Version: 0.7.3
Author: Johann Pfitzinger [aut, cre]
Authors@R: person(given = "Johann", family = "Pfitzinger", role = c("aut", "cre"), email = "johann.pfitzinger@gmail.com")
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: 7.3.2
URL: https://tidyfit.residualmetrics.com,
    https://github.com/jpfitzinger/tidyfit
Depends:
   R (>= 3.5)
Imports: 
  broom,
  crayon,
  dials,
  dplyr, 
  furrr,
  generics,
  magrittr,
  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)
Roxygen: list(markdown=TRUE)
VignetteBuilder: knitr
Config/testthat/edition: 3