pamr

Package: pamr
Title: Pam: prediction analysis for microarrays
Version: 1.55
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Description: Some functions for sample classification in microarrays
Maintainer: Rob Tibshirani <tibs@stanford.edu>
Depends: R (>= 2.10), cluster, survival
License: GPL-2
Packaged: 2014-08-27 02:07:43 UTC; tibs
Repository: CRAN
Date/Publication: 2014-08-27 07:27:29
NeedsCompilation: yes

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'pamr' ...
** package 'pamr' successfully unpacked and MD5 sums checked
** libs
f95   -fpic  -g -O2  -c knnimpute.f -o knnimpute.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o pamr.so knnimpute.o -lgfortran -lm -lquadmath -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/pamr/libs
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'pamr'
    finding HTML links ... done
    khan                                    html  
    pamr.adaptthresh                        html  
    pamr.batchadjust                        html  
    pamr.confusion                          html  
    pamr.confusion.survival                 html  
    pamr.cv                                 html  
    pamr.decorrelate                        html  
    pamr.fdr                                html  
    pamr.from.excel                         html  
    pamr.geneplot                           html  
    pamr.indeterminate                      html  
    pamr.internal                           html  
    pamr.knnimpute                          html  
    pamr.listgenes                          html  
    pamr.makeclasses                        html  
    pamr.menu                               html  
    pamr.plotcen                            html  
    pamr.plotcv                             html  
    pamr.plotcvprob                         html  
    pamr.plotfdr                            html  
    pamr.plotstrata                         html  
    pamr.plotsurvival                       html  
    pamr.predict                            html  
    pamr.predictmany                        html  
    pamr.surv.to.class2                     html  
    pamr.test.errors.surv.compute           html  
    pamr.to.excel                           html  
    pamr.train                              html  
** building package indices
** testing if installed package can be loaded
* DONE (pamr)
Making 'packages.html' ... done