Package: Sstack 1.0.1

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>.

Authors:Kevin Matlock, Raziur Rahman

Sstack_1.0.1.tar.gz
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Sstack_1.0.1.tgz(r-4.4-any)Sstack_1.0.1.tgz(r-4.3-any)
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Sstack.pdf |Sstack.html✨
Sstack/json (API)

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 21 dependencies 3 scripts 118 downloads

Last updated 6 years agofrom:898c6526a1. Checks:OK: 7. Indexed: yes.

Exports:BSHorizontalStackBSstackBSstack_predictBSVerticalStack

Dependencies:clicodetoolsdoParalleldplyrfansiforeachgenericsglueiteratorslifecyclemagrittrpillarpkgconfigR6randomForestrlangtibbletidyselectutf8vctrswithr