Package: tidyfit
Type: Package
Title: Regularized Linear Modeling with Tidy Data
Date: 2025-04-29
Version: 0.7.4
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 (>= 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)
Roxygen: list(markdown=TRUE)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: libicu-dev
Repository: https://jpfitzinger.r-universe.dev
Date/Publication: 2025-04-29 18:13:28 UTC
RemoteUrl: https://github.com/jpfitzinger/tidyfit
RemoteRef: HEAD
RemoteSha: 3d9d0129b87231020d6b7eb27b45316dabfc43fa
NeedsCompilation: no
Packaged: 2026-06-20 06:44:11 UTC; root