Package: globalboosttest
Version: 1.1-0
Date: 2010-08-02
Title: Testing the additional predictive value of high-dimensional data
Author: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>,
        Torsten Hothorn <torsten.hothorn@stat.uni-muenchen.de>.
Maintainer: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
Depends: R (>= 2.8), mboost (>= 2.0-0), survival
Suggests:
Description: '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'.
License: GPL (>= 2)
URL:
Repository: CRAN
Repository/R-Forge/Project: globalboosttest
Repository/R-Forge/Revision: 4
Date/Publication: 2012-10-29 08:58:54
Packaged: 2012-10-29 08:58:54 UTC; ripley
Built: R 3.1.0; ; 2013-11-27 14:01:33 UTC; unix
