Last data update: 2014.03.03

CoxBoost

Package: CoxBoost
Version: 1.4
Title: Cox models by likelihood based boosting for a single survival
endpoint or competing risks
Author: Harald Binder <binderh@uni-mainz.de>
Maintainer: Harald Binder <binderh@uni-mainz.de>
Depends: R (>= 2.14.0), survival, Matrix, prodlim
Suggests: parallel, snowfall
Description: This package provides routines for fitting Cox models by
likelihood based boosting for a single endpoint or in presence
of competing risks
License: GPL (>= 2)
Packaged: 2013-05-09 21:07:32 UTC; harald
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-05-10 10:18:16

● Cran Task View: MachineLearning, Survival
4 images, 11 functions, 0 datasets
Reverse Depends: 1

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'CoxBoost' ...
** package 'CoxBoost' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c find_best.c -o find_best.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o CoxBoost.so find_best.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/CoxBoost/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'CoxBoost'
    finding HTML links ... done
    CoxBoost                                html  
    coef.CoxBoost                           html  
    cv.CoxBoost                             html  
    cvcb.control                            html  
    estimPVal                               html  
    iCoxBoost                               html  
    optimCoxBoostPenalty                    html  
    optimStepSizeFactor                     html  
    plot.CoxBoost                           html  
    predict.CoxBoost                        html  
    predict.iCoxBoost                       html  
** building package indices
** testing if installed package can be loaded
* DONE (CoxBoost)
Making 'packages.html' ... done