Package: coxphw
Type: Package
Title: Weighted Estimation in Cox Regression
Version: 3.0.0
Date: 2014-04-07
Author: R by Meinhard Ploner, Georg Heinze, Daniela Dunkler, Fortran by Georg Heinze
Maintainer: Georg Heinze <georg.heinze@meduniwien.ac.at>
Description: This package implements weighted estimation in Cox regression as proposed by 
             Schemper, Wakounig and Heinze (Statistics in Medicine, 2009). Weighted Cox regression 
             provides unbiased average hazard ratio estimates also in case of non-proportional hazards. 
             Approximated generalized concordance probability an effect size measure for clear-cut
             decisions can be obtained. 
             Additionally estimation of nonlinear effects using fractional polynomials similar to the 
             MFP algorithm (Royston, Sauerbrei, 2008) is provided. This feature can also be used to 
             estimate the interaction of a covariate with a nonlinear function of time.
Depends: R (>= 3.0.2), survival
NeedsCompilation: yes
License: GPL-2
Packaged: 2014-04-08 12:38:49 UTC; Dani
Repository: CRAN
Date/Publication: 2014-04-08 16:40:22
Built: R 3.1.0; x86_64-apple-darwin10.8.0; 2014-04-11 11:46:24 UTC; unix
Archs: coxphw.so.dSYM
