globalboosttest: Testing the additional predictive value of high-dimensional data
Version 1.1-0

'globalboosttest' implements a permutation-based testing procedure to globally test the (additional) predictive value of a large set of predictors given that a small set of predictors is already available. Currently, 'globalboosttest' supports binary outcomes (via logistic regression) and survival outcomes (via Cox regression). It is based on boosting regression as implemented in the package 'mboost'.

Getting started

Package details

AuthorAnne-Laure Boulesteix <[email protected]>, Torsten Hothorn <[email protected]>.
Date of publication2012-10-29 08:58:54
MaintainerAnne-Laure Boulesteix <[email protected]>
LicenseGPL (>= 2)
Version1.1-0
URL
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("globalboosttest")

Try the globalboosttest package in your browser

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

globalboosttest documentation built on May 29, 2017, 3:27 p.m.