pdp: Partial Dependence Plots
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types of machine learning models in R.
| Version: | 0.10.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | graphics, grDevices, lattice, methods, stats, tinyplot, utils |
| Suggests: | C50, caret, covr, doParallel, e1071, earth, foreach, gbm, gridExtra, ICEbox, kernlab, knitr, magrittr, MASS, Matrix, mlbench, nnet, party, randomForest, ranger, rmarkdown, rpart, tinytest, xgboost (≥ 3.1.3.1) |
| Published: | 2026-10-08 |
| DOI: | 10.32614/CRAN.package.pdp |
| Author: | Brandon M. Greenwell
 [aut, cre] |
| Maintainer: | Brandon M. Greenwell <greenwell.brandon at gmail.com> |
| BugReports: | https://github.com/bgreenwell/pdp/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/bgreenwell/pdp, https://bgreenwell.github.io/pdp/, https://bgreenwell.r-universe.dev/pdp |
| NeedsCompilation: | yes |
| Citation: | pdp citation info |
| Materials: | README, NEWS |
| In views: | MachineLearning |
| CRAN checks: | pdp results |
Documentation:
| Reference manual: | pdp.html , pdp.pdf |
| Vignettes: |
Making pdp faster (source, R code) Individual conditional expectation (ICE) curves (source, R code) Introduction to pdp (source, R code) |
Downloads:
| Package source: | pdp_0.10.0.tar.gz |
| Windows binaries: | r-devel: pdp_0.8.3.zip, r-release: pdp_0.8.3.zip, r-oldrel: pdp_0.10.0.zip |
| macOS binaries: | r-release (arm64): pdp_0.10.0.tgz, r-oldrel (arm64): pdp_0.10.0.tgz, r-release (x86_64): pdp_0.10.0.tgz, r-oldrel (x86_64): pdp_0.10.0.tgz |
| Old sources: | pdp archive |
Reverse dependencies:
| Reverse imports: | CLIQUE, hpiR, rarefun, rmweather |
| Reverse suggests: | caretSDM, ENMTools, fastgbm, fastml, gbm, mpae, mvtweedie, tinyVAST, xgrove |
Linking:
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