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: 1.0.0
Depends: R (≥ 2.10)
Imports: cli, dplyr (≥ 0.8.0.1), generics (≥ 0.1.2), ggplot2, globals, glue, hardhat (≥ 1.1.0), lifecycle, magrittr, pillar, prettyunits, purrr, rlang (≥ 0.3.1), stats, tibble (≥ 2.1.1), tidyr (≥ 1.0.0), utils, vctrs (≥ 0.4.1), withr
Suggests: C50, covr, dials (≥ 0.1.0), earth, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, mgcv, modeldata, nlme, ranger (≥ 0.12.0), remotes, rmarkdown, rpart, sparklyr (≥ 1.0.0), survival, tensorflow, testthat (≥ 3.0.0), xgboost (≥ 1.5.0.1)
Published: 2022-06-16
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph, fnd]
Maintainer: Max Kuhn <max at rstudio.com>
BugReports: https://github.com/tidymodels/parsnip/issues
License: MIT + file LICENSE
URL: https://github.com/tidymodels/parsnip, https://parsnip.tidymodels.org/
NeedsCompilation: no
Materials: NEWS
CRAN checks: parsnip results

Documentation:

Reference manual: parsnip.pdf
Vignettes: Introduction to parsnip

Downloads:

Package source: parsnip_1.0.0.tar.gz
Windows binaries: r-devel: parsnip_1.0.0.zip, r-release: parsnip_1.0.0.zip, r-oldrel: parsnip_1.0.0.zip
macOS binaries: r-release (arm64): parsnip_1.0.0.tgz, r-oldrel (arm64): parsnip_1.0.0.tgz, r-release (x86_64): parsnip_1.0.0.tgz, r-oldrel (x86_64): parsnip_1.0.0.tgz
Old sources: parsnip archive

Reverse dependencies:

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

Linking:

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