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

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0.0.4 by Zachary Jones, 4 months ago

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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.

Suggested by mlr.

See at CRAN