Trees Classification and Regression using multivariate nodes calculated by an exhaustive numerical approach. We propose a new concept of decision tree, including multivariate knots and non hierarchical pathway. This package's model uses a multivariate nodes tree that calculates directly a risk score for each observation for the state Y observed. Nguyen JM, Gaultier A, Antonioli D (2015) <doi:10.1016/j.respe.2018.03.088> Castillo JM, Knol AC, Nguyen JM, Khammari A, Saint Jean M, Dreno B (2016) <doi:10.1684/ejd.2016.2826> Vildy S, Nguyen JM, Gaultier A, Khammari A, Dreno B (2017) <doi:10.1684/ejd.2016.2955> Nguyen JM, Gaultier A, Antonioli D (2018) <doi:10.1016/j.respe.2018.03.088>.
| Version: | 1.0 |
| Depends: | ROCR, R (≥ 3.0) |
| Published: | 2018-09-03 |
| Author: | Jean-Michel Nguyen [aut, cre], Daniel Antonioli [aut] |
| Maintainer: | Jean-Michel Nguyen <jean-michel.nguyen at univ-nantes.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| URL: | http://www.univ-nantes.fr/site-de-l-universite-de-nantes/jean-michel-nguyen--3564.kjsp |
| NeedsCompilation: | no |
| CRAN checks: | ROP results |
| Reference manual: | ROP.pdf |
| Package source: | ROP_1.0.tar.gz |
| Windows binaries: | r-devel: ROP_1.0.zip, r-release: ROP_1.0.zip, r-oldrel: ROP_1.0.zip |
| macOS binaries: | r-release: ROP_1.0.tgz, r-oldrel: ROP_1.0.tgz |
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