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, 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:

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