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

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Reference manual

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install.packages("Sstack")

1.0.1 by Kevin Matlock, 9 months ago


Browse source code at https://github.com/cran/Sstack


Authors: Kevin Matlock , Raziur Rahman


Documentation:   PDF Manual  


GPL-3 license


Imports randomForest, foreach, dplyr, parallel, doParallel


See at CRAN