edarf: Exploratory Data Analysis using Random Forests
Version 1.1.1

Functions useful for exploratory data analysis using random forests which can be used to compute multivariate partial dependence, observation, class, and variable-wise marginal and joint permutation importance as well as observation-specific measures of distance (supervised or unsupervised). All of the aforementioned functions are accompanied by 'ggplot2' plotting functions.

Browse man pages Browse package API and functions Browse package files

AuthorZachary M. Jones <zmj@zmjones.com> and Fridolin Linder <fridolin.linder@gmail.com>
Date of publication2017-03-06 08:28:57
MaintainerZachary M. Jones <zmj@zmjones.com>
LicenseMIT + file LICENSE
Version1.1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("edarf")

Man pages

extract_proximity: Methods to extract proximity matrices from random forests
partial_dependence: Partial dependence using random forests
plot_imp: Plot variable importance from random forests
plot_pd: Plot partial dependence from random forests
plot_pred: Plot predicted versus observed values
plot_prox: Plot principle components of the proximity matrix
variable_importance: Variable importance using random forests

Functions

extract_proximity Man page Source code
extract_proximity.RandomForest Source code
extract_proximity.randomForest Source code
extract_proximity.ranger Source code
extract_proximity.rfsrc Source code
partial_dependence Man page Source code
partial_dependence.RandomForest Source code
partial_dependence.randomForest Source code
partial_dependence.ranger Source code
partial_dependence.rfsrc Source code
plot_imp Man page Source code
plot_pd Man page Source code
plot_pred Man page Source code
plot_prox Man page Source code
renameColumns Source code
renameColumns.RandomForest Source code
renameColumns.randomForest Source code
renameColumns.ranger Source code
renameColumns.rfsrc Source code
variable_importance Man page Source code
variable_importance.RandomForest Source code
variable_importance.randomForest Source code
variable_importance.ranger Source code
variable_importance.rfsrc Source code

Files

inst
inst/doc
inst/doc/edarf.R
inst/doc/edarf.Rmd
inst/doc/edarf.html
tests
tests/testthat.R
tests/testthat
tests/testthat/test_pd.R
tests/testthat/test_imp.R
tests/testthat/test_prox.R
NAMESPACE
NEWS.md
R
R/pd.R
R/utils.R
R/plot.R
R/prox.R
R/imp.R
vignettes
vignettes/edarf.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/extract_proximity.Rd
man/plot_pd.Rd
man/plot_pred.Rd
man/plot_imp.Rd
man/partial_dependence.Rd
man/plot_prox.Rd
man/variable_importance.Rd
LICENSE
edarf documentation built on May 19, 2017, 1:40 p.m.