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', 'H2O', etc).

Version:	1.5.0
Depends:	R (≥ 4.1)
Imports:	cli, dplyr (≥ 1.1.0), generics (≥ 0.1.2), ggplot2, globals, glue, hardhat (≥ 1.4.1), lifecycle, magrittr, pillar, prettyunits, purrr (≥ 1.0.0), rlang (≥ 1.1.0), sparsevctrs (≥ 0.2.0), stats, tibble (≥ 2.1.1), tidyr (≥ 1.3.0), utils, vctrs (≥ 0.6.0)
Suggests:	bench, C50, covr, dials (≥ 1.4.2.9001), earth, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, methods, mgcv, modeldata, nlme, prodlim, ranger (≥ 0.12.0), remotes, rmarkdown, rpart, sparklyr (≥ 1.0.0), survival, tensorflow, testthat (≥ 3.0.0), withr, xgboost (≥ 1.5.0.1)
Published:	2026-04-09
DOI:	10.32614/CRAN.package.parsnip
Author:	Max Kuhn [cre, aut], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC [cph, fnd]
Maintainer:	Max Kuhn <max at posit.co>
BugReports:	https://github.com/tidymodels/parsnip/issues
License:	MIT + file LICENSE
URL:	https://github.com/tidymodels/parsnip, https://parsnip.tidymodels.org/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	parsnip results

Documentation:

Reference manual:	parsnip.html , parsnip.pdf
Vignettes:	Introduction to parsnip (source, R code)

Downloads:

Package source:	parsnip_1.5.0.tar.gz
Windows binaries:	r-devel: parsnip_1.5.0.zip, r-release: parsnip_1.5.0.zip, r-oldrel: parsnip_1.5.0.zip
macOS binaries:	r-release (arm64): parsnip_1.5.0.tgz, r-oldrel (arm64): parsnip_1.5.0.tgz, r-release (x86_64): parsnip_1.5.0.tgz, r-oldrel (x86_64): parsnip_1.5.0.tgz
Old sources:	parsnip archive

Reverse dependencies:

Reverse depends:	additive, agua, baguette, bayesian, bonsai, censored, discrim, multilevelmod, ordered, plsmod, poissonreg, rules, tidyAML
Reverse imports:	autostats, bioLeak, card, CimpleG, cuda.ml, easysurv, FastKRR, fastml, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, kerasnip, kindling, ldmppr, LLMAgentR, LorenzRegression, misl, MLDataR, MLwrap, modeltime, offsetreg, postcard, ppsr, sae.projection, SeroTrackR, shinymodels, stacks, tabnet, text, tidyclust, tidydann, tidymodels, tidysdm, tidysynthesis, tune, viralx, workflows, workflowsets
Reverse suggests:	BORG, broom.helpers, bundle, butcher, coefplot, condvis2, easyalluvial, effectsize, equatiomatic, forestControl, ggeffects, ggmlR, gtsummary, h3sdm, important, infer, insight, MachineShop, marginaleffects, midnight, mmrm, mrIML, omicsTools, OptimalBinningWoE, orbital, parttree, predictset, probably, propensity, pysparklyr, recipes, Rfuzzycoco, shapr, sparklyr, survex, tidylearn, tidyposterior, tidypredict, timetk, TrialEmulation, vetiver
Reverse enhances:	vip

Linking:

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