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globalboosttest (version 1.1-0)

Testing the additional predictive value of high-dimensional data

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'.

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Version

Install

install.packages('globalboosttest')

Monthly Downloads

13

Version

1.1-0

License

GPL (>= 2)

Last Published

October 29th, 2012

Functions in globalboosttest (1.1-0)

simdatabin

Simulated data with binary outcome
globalboosttest-internal

Internal globalboosttest Functions
simdatasurv

Simulated data with survival outcome
globalboosttest

Testing the additional predictive value of high-dimensional data