pdp (0.7.0)
Partial Dependence Plots.
https://bgreenwell.github.io/pdp/index.html
https://github.com/bgreenwell/pdp
http://cran.r-project.org/web/packages/pdp
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Maintainer:
Brandon M. Greenwell
Author(s): Brandon Greenwell [aut, cre] (<https://orcid.org/0000-0002-8120-0084>)
License: GPL (>= 2)
Uses: ggplot2, gridExtra, lattice, magrittr, mgcv, plyr, viridis, adabag, caret, e1071, earth, gbm, ipred, kernlab, mda, party, randomForest, rpart, MASS, nnet, testthat, Cubist, partykit, doParallel, knitr, C50, dplyr, xgboost, rmarkdown, progress, ranger, keras, AmesHousing, vip
Reverse suggests: gbm
Released 5 months ago.
8 previous versions
- pdp_0.6.0. Released over 1 year ago.
- pdp_0.5.2. Released almost 2 years ago.
- pdp_0.4.0. Released about 2 years ago.
- pdp_0.3.0. Released about 2 years ago.
- pdp_0.2.0. Released about 2 years ago.
- pdp_0.1.0. Released over 2 years ago.
- pdp_0.0.4. Released over 2 years ago.
- pdp_0.0.1. Released over 2 years ago.
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Visit pdp on R Graphical Manual.
