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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 |
Reference manual: | parsnip.pdf |
Vignettes: |
Introduction to parsnip |
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 depends: | additive, agua, baguette, bayesian, bonsai, censored, discrim, multilevelmod, plsmod, poissonreg, rules, tidyAML |
Reverse imports: | autostats, cuda.ml, easysurv, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, 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 |
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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.
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