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


Author  Zachary M. Jones <[email protected]> and Fridolin Linder <[email protected]> 
Date of publication  20170306 08:28:57 
Maintainer  Zachary M. Jones <[email protected]> 
License  MIT + file LICENSE 
Version  1.1.1 
Package repository  View on CRAN 
Installation 
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