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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: 1.2.1
Depends: R (≥ 3.6)
Imports: cli, dplyr (≥ 1.1.0), generics (≥ 0.1.2), ggplot2, globals, glue, hardhat (≥ 1.1.0), lifecycle, magrittr, pillar, prettyunits, purrr (≥ 1.0.0), rlang (≥ 0.3.1), stats, tibble (≥ 2.1.1), tidyr (≥ 1.3.0), utils, vctrs (≥ 0.6.0), withr
Suggests: C50, bench, covr, dials (≥ 1.1.0), earth, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, mgcv, modeldata, nlme, prodlim, ranger (≥ 0.12.0), remotes, rmarkdown, rpart, sparklyr (≥ 1.0.0), survival, tensorflow, testthat (≥ 3.0.0), xgboost (≥ 1.5.0.1)
Published: 2024-03-22
DOI: 10.32614/CRAN.package.parsnip
Author: Max Kuhn [aut, cre], 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.pdf
Vignettes: Introduction to parsnip

Downloads:

Package source: parsnip_1.2.1.tar.gz
Windows binaries: r-devel: parsnip_1.2.1.zip, r-release: parsnip_1.2.1.zip, r-oldrel: parsnip_1.2.1.zip
macOS binaries: r-release (arm64): parsnip_1.2.1.tgz, r-oldrel (arm64): parsnip_1.2.1.tgz, r-release (x86_64): parsnip_1.2.1.tgz, r-oldrel (x86_64): parsnip_1.2.1.tgz
Old sources: parsnip archive

Reverse dependencies:

Reverse depends: additive, agua, baguette, bayesian, bonsai, censored, discrim, lnmixsurv, multilevelmod, plsmod, poissonreg, rules, tidyAML
Reverse imports: autostats, card, cuda.ml, easysurv, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, LorenzRegression, MLDataR, modeltime, modeltime.resample, nestedmodels, offsetreg, ppsr, shinymodels, SSLR, stacks, tabnet, text, tidyclust, tidydann, tidymodels, tidysdm, tune, viraldomain, viralmodels, viralx, workflows, workflowsets
Reverse suggests: broom.helpers, bundle, butcher, coefplot, condvis2, easyalluvial, effectsize, forestControl, ggeffects, gtsummary, infer, insight, MachineShop, marginaleffects, mmrm, orbital, probably, recipes, sparklyr, survex, tidyposterior, tidypredict, timetk, vetiver
Reverse enhances: vip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=parsnip 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.