Sstack: 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) <doi:10.1186/s12859-018-2060-2>.

Getting started

Package details

AuthorKevin Matlock, Raziur Rahman
MaintainerKevin Matlock <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the Sstack package in your browser

Any scripts or data that you put into this service are public.

Sstack documentation built on May 1, 2018, 5:04 p.m.