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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.
Version: | 0.7.1 |
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, 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) |
Published: | 2024-03-23 |
DOI: | 10.32614/CRAN.package.tidyfit |
Author: | Johann Pfitzinger [aut, cre] |
Maintainer: | Johann Pfitzinger <johann.pfitzinger at gmail.com> |
License: | GPL-3 |
URL: | https://tidyfit.residualmetrics.com, https://github.com/jpfitzinger/tidyfit |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | tidyfit results |
Package source: | tidyfit_0.7.1.tar.gz |
Windows binaries: | r-devel: tidyfit_0.7.1.zip, r-release: tidyfit_0.7.1.zip, r-oldrel: tidyfit_0.7.1.zip |
macOS binaries: | r-release (arm64): tidyfit_0.7.1.tgz, r-oldrel (arm64): tidyfit_0.7.1.tgz, r-release (x86_64): tidyfit_0.7.1.tgz, r-oldrel (x86_64): tidyfit_0.7.1.tgz |
Old sources: | tidyfit archive |
Please use the canonical form https://CRAN.R-project.org/package=tidyfit to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.