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".

AuthorBenjamin Guedj <benjamin.guedj@upmc.fr>
Date of publication2013-07-30 15:14:34
MaintainerBenjamin Guedj <benjamin.guedj@upmc.fr>
LicenseGPL (>= 2)
Version0.99.4
http://www.lsta.upmc.fr/doct/guedj/index.html

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Files in this package

COBRA
COBRA/inst
COBRA/inst/CITATION
COBRA/src
COBRA/src/COBRA.c
COBRA/NAMESPACE
COBRA/R
COBRA/R/COBRA.R COBRA/R/zzz.R
COBRA/MD5
COBRA/DESCRIPTION
COBRA/man
COBRA/man/COBRA.Rd COBRA/man/COBRA-package.Rd

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