pdp: Partial Dependence Plots

A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.

Version: 0.2.0
Depends: R (≥ 3.2.5)
Imports: grDevices, lattice, magrittr, mgcv, plyr, stats, viridis
Suggests: C50, caret, Cubist, e1071, earth, gbm, kernlab, nnet, party, partykit, randomForest, rpart, testthat, xgboost
Published: 2016-12-03
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon 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
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pdp results

Downloads:

Reference manual: pdp.pdf
Package source: pdp_0.2.0.tar.gz
Windows binaries: r-devel: pdp_0.2.0.zip, r-release: pdp_0.2.0.zip, r-oldrel: pdp_0.2.0.zip
OS X Mavericks binaries: r-release: pdp_0.2.0.tgz, r-oldrel: pdp_0.2.0.tgz
Old sources: pdp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pdp to link to this page.