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: 0.1.6
Depends: R (≥ 2.10)
Imports: dplyr (≥, rlang (≥ 0.3.1), purrr, utils, tibble (≥ 2.1.1), generics (≥ 0.1.0), glue, lifecycle, magrittr, stats, tidyr (≥ 1.0.0), globals, prettyunits, vctrs (≥ 0.2.0)
Suggests: testthat, knitr, rmarkdown, survival, keras, xgboost, covr, C50, sparklyr (≥ 1.0.0), earth, kernlab, kknn, randomForest, ranger (≥ 0.12.0), rpart, MASS, nlme, modeldata, LiblineaR, Matrix
Published: 2021-05-27
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], Emil Hvitfeldt [ctb], RStudio [cph]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: parsnip results


Reference manual: parsnip.pdf
Vignettes: parsnip Basics
Package source: parsnip_0.1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): parsnip_0.1.6.tgz, r-release (x86_64): parsnip_0.1.6.tgz, r-oldrel: parsnip_0.1.6.tgz
Old sources: parsnip archive

Reverse dependencies:

Reverse depends: additive, baguette, bayesian, bayesmodels, discrim, garchmodels, plsmod, poissonreg, rules
Reverse imports: modeltime, modeltime.ensemble, modeltime.gluonts, modeltime.h2o, modeltime.resample, ppsr, sknifedatar, SSLR, stacks, text, tidymodels, tune, workflows
Reverse suggests: butcher, coefplot, condvis2, easyalluvial, finetune, forestControl, gtsummary, insight, probably, tabnet, tidyposterior, tidypredict, timetk, vip, workflowsets


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