COBRA: Nonlinear Aggregation of Predictors

This package performs prediction for regression-oriented problems, aggregating in a nonlinear scheme any basic regression machines suggested by the context and provided by the user. If the user has no valuable knowledge on the data, four defaults machines wrappers are implemented so as to cover a minimal spectrum of prediction methods. If necessary, the computations may be parallelized. The method is described in Biau, Fischer, Guedj and Malley (2013), "COBRA: A Nonlinear Aggregation Strategy".

Version: 0.99.4
Suggests: snowfall, lars, ridge, tree, randomForest
Published: 2013-07-30
Author: Benjamin Guedj
Maintainer: Benjamin Guedj <benjamin.guedj at upmc.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.lsta.upmc.fr/doct/guedj/index.html
NeedsCompilation: yes
Citation: COBRA citation info
CRAN checks: COBRA results

Downloads:

Reference manual: COBRA.pdf
Package source: COBRA_0.99.4.tar.gz
Windows binaries: r-devel: COBRA_0.99.4.zip, r-release: COBRA_0.99.4.zip, r-oldrel: COBRA_0.99.4.zip
OS X Snow Leopard binaries: r-release: COBRA_0.99.4.tgz, r-oldrel: COBRA_0.99.4.tgz
OS X Mavericks binaries: r-release: COBRA_0.99.4.tgz
Old sources: COBRA archive