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: creditmodel, DALEX, gbm, vip
Released over 1 year ago.
8 previous versions
- pdp_0.6.0. Released over 2 years ago.
- pdp_0.5.2. Released almost 3 years ago.
- pdp_0.4.0. Released about 3 years ago.
- pdp_0.3.0. Released about 3 years ago.
- pdp_0.2.0. Released about 3 years ago.
- pdp_0.1.0. Released over 3 years ago.
- pdp_0.0.4. Released over 3 years ago.
- pdp_0.0.1. Released over 3 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of pdp yet. Want to be the first? Write one now.
Related packages: BayesTree, GAMBoost, ROCR, RXshrink, arules, caret, e1071, earth, effects, elasticnet, gbm, glmpath, grplasso, ipred, kernlab, klaR, lars, lasso2, maptree, mboost … (20 best matches, based on common tags.)
Search for pdp on google, google scholar, r-help, r-devel.
Visit pdp on R Graphical Manual.
