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: 0.2.1
Depends: R (≥ 2.10)
Imports: cli, dplyr (≥, generics (≥, ggplot2, globals, glue, hardhat (≥, lifecycle, magrittr, prettyunits, purrr, rlang (≥ 0.3.1), stats, tibble (≥ 2.1.1), tidyr (≥ 1.0.0), utils, vctrs (≥ 0.2.0), withr
Suggests: C50, covr, dials (≥, earth, tensorflow, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, mgcv, modeldata, nlme, ranger (≥ 0.12.0), remotes, rmarkdown, rpart, sparklyr (≥ 1.0.0), survival, testthat, xgboost (≥
Published: 2022-03-17
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph, fnd]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: parsnip results


Reference manual: parsnip.pdf
Vignettes: Introduction to parsnip


Package source: parsnip_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): parsnip_0.2.1.tgz, r-release (x86_64): parsnip_0.2.1.tgz, r-oldrel: parsnip_0.2.1.tgz
Old sources: parsnip archive

Reverse dependencies:

Reverse depends: additive, baguette, bayesian, discrim, multilevelmod, plsmod, poissonreg, rules
Reverse imports: autostats,, finnts, healthyR.ts, imputeGeneric, MLDataR, modeltime, modeltime.ensemble, modeltime.gluonts, modeltime.h2o, modeltime.resample, ppsr, shinymodels, sknifedatar, SSLR, stacks, text, tidymodels, tune, workflows
Reverse suggests: butcher, coefplot, condvis2, easyalluvial, finetune, forestControl, gtsummary, insight, MachineShop, probably, recipes, tabnet, tidyposterior, tidypredict, timetk, vetiver, vip, workflowsets


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