A Common API to Modeling and Analysis Functions [R package parsnip version 1.3.3]

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: 1.3.3

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), withr

Suggests: bench, C50, covr, dials (≥ 1.1.0), 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), xgboost (≥ 1.5.0.1)

Published: 2025年08月31日

DOI: 10.32614/CRAN.package.parsnip

Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], Posit Software, PBC ROR ID [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_1.3.3.tar.gz

Windows binaries: r-devel: parsnip_1.3.3.zip, r-release: parsnip_1.3.3.zip, r-oldrel: parsnip_1.3.3.zip

macOS binaries: r-release (arm64): parsnip_1.3.3.tgz, r-oldrel (arm64): parsnip_1.3.3.tgz, r-release (x86_64): parsnip_1.3.3.tgz, r-oldrel (x86_64): parsnip_1.3.3.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, FastKRR, fastml, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, kerasnip, ldmppr, LLMAgentR, LorenzRegression, MLDataR, MLwrap, modeltime, offsetreg, postcard, ppsr, sae.projection, shinymodels, stacks, tabnet, text, tidyclust, tidydann, tidymodels, tidysdm, tidysynthesis, tune, viraldomain, viralmodels, viralx, workflows, workflowsets

Reverse suggests: broom.helpers, bundle, butcher, coefplot, condvis2, easyalluvial, effectsize, equatiomatic, forestControl, ggeffects, gtsummary, important, infer, insight, MachineShop, marginaleffects, mmrm, mrIML, orbital, parttree, probably, recipes, Rfuzzycoco, shapr, sparklyr, survex, tidyposterior, tidypredict, timetk, TrialEmulation, vetiver

Reverse enhances: vip

Linking:

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