edarf: Exploratory Data Analysis using Random Forests
Zachary Jones, Fridolin Linder · The Journal of Open Source Software · 2016
This package contains functions useful for exploratory data analysis using random forests, which can be fit using the randomForest, randomForestSRC, or party packages (Liaw and Wiener 2002;Ishwaran and Kogalur 2013;Hothorn, Hornik, and Zeileis 2006).These functions can compute the partial dependence of covariates (individually or in combination) on the fitted forests' predictions, the permutation importance of covariates, as well as the distance between data points according to the fitted model.