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 |
| 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 |
| macOS binaries: | r-release: SoftRandomForest_0.1.0.tgz, r-oldrel: SoftRandomForest_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SoftRandomForest to link to this page.