SoftRandomForest: Classification Random Forests for Soft Decision Trees

Performs random forests for soft decision trees for a classification problem. Current limitations are for a maximum depth of 5 resulting in 16 terminal nodes. Some data cleaning is required before input. Final graphic output requires currently requires exporting to 'Microsoft Excel' for visualization. Method based on Irsoy, Yildiz and Alpaydin (2012, ISBN: 978-4-9906441-1-6).

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: boot, utils
Published: 2019-05-15
Author: Gregory Hilleren
Maintainer: Gregory Hilleren <Gregory.Hilleren at gmail.com>
License: CC0
URL: https://github.com/GregHilleren/SoftRandomForest
NeedsCompilation: yes
Materials: NEWS
CRAN checks: SoftRandomForest results

Downloads:

Reference manual: SoftRandomForest.pdf
Package source: SoftRandomForest_0.1.0.tar.gz
Windows binaries: r-devel: SoftRandomForest_0.1.0.zip, r-release: SoftRandomForest_0.1.0.zip, r-oldrel: SoftRandomForest_0.1.0.zip
OS X binaries: r-release: SoftRandomForest_0.1.0.tgz, r-oldrel: SoftRandomForest_0.1.0.tgz

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