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.
|Author||Zachary M. Jones <email@example.com> and Fridolin Linder <firstname.lastname@example.org>|
|Date of publication||2017-03-06 08:28:57|
|Maintainer||Zachary M. Jones <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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