Bootstrap Stacking of Random Forest Models for Heterogeneous Data

Generates and predicts a set of linearly stacked Random Forest models using bootstrap sampling. Individual datasets may be heterogeneous (not all samples have full sets of features). Contains support for parallelization but the user should register their cores before running. This is an extension of the method found in Matlock (2018) .

R Package for staircase style stacking of Random Forest Models. adding a line for git


Reference manual

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


1.0.1 by Kevin Matlock, 3 years ago

Browse source code at

Authors: Kevin Matlock , Raziur Rahman

Documentation:   PDF Manual  

GPL-3 license

Imports randomForest, foreach, dplyr, parallel, doParallel

See at CRAN