Reference manual

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install.packages("parsnip")

1.2.0 by Max Kuhn, 5 days ago


https://github.com/tidymodels/parsnip, https://parsnip.tidymodels.org/


Report a bug at https://github.com/tidymodels/parsnip/issues


Browse source code at https://github.com/cran/parsnip


Authors: Max Kuhn [aut, cre] , Davis Vaughan [aut] , Emil Hvitfeldt [ctb] , Posit Software , PBC [cph, fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, dplyr, generics, ggplot2, globals, glue, hardhat, lifecycle, magrittr, pillar, prettyunits, purrr, rlang, stats, tibble, tidyr, utils, vctrs, withr

Suggests C50, covr, dials, earth, ggrepel, keras, kernlab, kknn, knitr, LiblineaR, MASS, Matrix, mgcv, modeldata, nlme, prodlim, ranger, remotes, rmarkdown, rpart, sparklyr, survival, tensorflow, testthat, xgboost


Imported by MLDataR, SSLR, cuda.ml, finetune, finnts, healthyR.ai, healthyR.ts, imputeGeneric, modeltime, modeltime.ensemble, modeltime.resample, nestedmodels, offsetreg, ppsr, shinymodels, stacks, text, tidyclust, tidydann, tidymodels, tidysdm, tune, viraldomain, viralmodels, viralx, viruslearner, workflows, workflowsets.

Depended on by additive, agua, baguette, bayesian, bonsai, censored, discrim, multilevelmod, plsmod, poissonreg, rules, tidyAML.

Suggested by MachineShop, broom.helpers, bundle, butcher, coefplot, condvis2, easyalluvial, effectsize, forestControl, ggeffects, gtsummary, infer, insight, marginaleffects, mmrm, probably, recipes, sparklyr, survex, tabnet, tidyposterior, tidypredict, timetk, vetiver.

Enhanced by vip.


See at CRAN