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".

Package details

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
Installation Install the latest version of this package by entering the following in R:
install.packages("COBRA")

Try the COBRA package in your browser

Any scripts or data that you put into this service are public.

COBRA documentation built on May 30, 2017, 1:43 a.m.