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: | 0.7.4 |
| 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) |
| Published: | 2025-04-29 |
| 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_0.7.4.tar.gz |
| Windows binaries: | r-devel:tidyfit_0.7.4.zip, r-release:tidyfit_0.7.4.zip, r-oldrel:tidyfit_0.7.4.zip |
| macOS binaries: | r-release (arm64):tidyfit_0.7.4.tgz, r-oldrel (arm64):tidyfit_0.7.4.tgz, r-release (x86_64):tidyfit_0.7.4.tgz, r-oldrel (x86_64):tidyfit_0.7.4.tgz |
| Old sources: | tidyfit archive |
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