Package: Sstack
Type: Package
Title: Bootstrap Stacking of Random Forest Models for Heterogeneous
        Data
Version: 1.0.1
Author: Kevin Matlock, Raziur Rahman
Maintainer: Kevin Matlock <kevin.matlock@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Depends: R (>= 2.10)
Imports: randomForest, foreach, dplyr, parallel, doParallel
NeedsCompilation: no
Packaged: 2026-07-16 08:29:24 UTC; root
Repository: https://klmatlock.r-universe.dev
Date/Publication: 2018-05-01 14:38:50 UTC
RemoteUrl: https://github.com/cran/Sstack
RemoteRef: HEAD
RemoteSha: 898c6526a17927045cbc8e882c1f5351561a8a91