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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, lnmixsurv, multilevelmod, plsmod, poissonreg, rules, tidyAML |
| Reverse imports: | autostats, card, cuda.ml, easysurv, fastml, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, ldmppr, LorenzRegression, MLDataR, modeltime, modeltime.resample, nestedmodels, offsetreg, ppsr, sae.projection, 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, TrialEmulation, vetiver |
| Reverse enhances: | vip |
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.