parsnip: A Common API to Modeling and Analysis Functions

A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr (≥, rlang (≥ 0.3.1), purrr, utils, tibble (≥ 2.1.1), generics, glue, magrittr, stats, tidyr, globals, prettyunits, vctrs (≥ 0.2.0)
Suggests: testthat, knitr, rmarkdown, survival, keras, xgboost, covr, C50, sparklyr (≥ 1.0.0), earth, kernlab, kknn, randomForest, ranger, rpart, MASS, nlme, modeldata
Published: 2020-04-09
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: parsnip results


Reference manual: parsnip.pdf
Vignettes: parsnip Basics
Package source: parsnip_0.1.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: parsnip_0.1.0.tgz, r-release: parsnip_0.1.0.tgz, r-oldrel: parsnip_0.0.5.tgz
Old sources: parsnip archive

Reverse dependencies:

Reverse depends: baguette, discrim, plsmod, poissonreg
Reverse imports: SSLR, tidymodels, tune, workflows
Reverse suggests: butcher, forestControl, probably, tidypredict, timetk, vip


Please use the canonical form to link to this page.