Monte-Carlo Methods for Prediction Functions

Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.

Monte-Carlo Methods for Prediction Functions

Contains functions which create uniform, random, or user-specified grids and then evaluates marginalized prediction functions on them (e.g., partial dependence). Also contains functions to compute permutation importance.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.0.3 by Zachary Jones, 8 months ago

Report a bug at

Browse source code at

Authors: Zachary Jones [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports checkmate, data.table

Suggests testthat, rmarkdown, knitr, randomForest, ggplot2, reshape2

Imported by edarf.

See at CRAN