Monte-Carlo Methods for Prediction Functions
Marginalizes prediction functions using Monte-Carlo integration and computes permutation importance.
expands two data.frames using the Cartesian product
make a uniform, random, or user-specified grid over some columns of a data.frame, and combine it with a grid of points to integrate over.
creates a data.frame with some columns permuted
marginalizes prediction functions
computes permutation importance
method to create a uniform grid on a variable
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.