ROP: Regression Optimized: Numerical Approach for Multivariate Classification and Regression Trees

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

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Reference manual: ROP.pdf
Package source: ROP_1.0.tar.gz
Windows binaries: r-devel: ROP_1.0.zip, r-devel-gcc8: ROP_1.0.zip, r-release: ROP_1.0.zip, r-oldrel: ROP_1.0.zip
OS X binaries: r-release: ROP_1.0.tgz, r-oldrel: ROP_1.0.tgz

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