COBRA: Nonlinear Aggregation of Predictors
Version 0.99.4

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
URL http://www.lsta.upmc.fr/doct/guedj/index.html
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("COBRA")

Getting started

Package overview

Popular man pages

COBRA: COBRA
COBRA-package: Nonlinear Aggregation of Predictors
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Man pages

COBRA: COBRA
COBRA-package: Nonlinear Aggregation of Predictors

Functions

COBRA Man page Man page Source code
COBRA-package Man page
onAttach Source code

Files

inst
inst/CITATION
src
src/COBRA.c
NAMESPACE
R
R/COBRA.R
R/zzz.R
MD5
DESCRIPTION
man
man/COBRA.Rd
man/COBRA-package.Rd
COBRA documentation built on May 19, 2017, 11:45 p.m.

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