lassoscore

Package: lassoscore
Title: High-Dimensional Inference with the Penalized Score Test
Description: Use the lasso regression method to perform approximate inference
in high dimensions, by penalizing the effects of nuisance parameters.
Version: 0.6
Author: Arie Voorman <arie.voorman@gmail.com>
Maintainer: Arie Voorman <arie.voorman@gmail.com>
Depends: R (>= 2.10), glasso, glmnet, Matrix
Suggests: covTest, lars
License: GPL (>= 2)
LazyData: true
Packaged: 2014-10-28 04:56:25 UTC; arie
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-28 08:10:02

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'lassoscore' ...
** package 'lassoscore' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'lassoscore'
    finding HTML links ... done
    diabetes                                html  
    glassoscore                             html  
    finding level-2 HTML links ... done

    lassoscore                              html  
    qqpval                                  html  
** building package indices
** testing if installed package can be loaded
* DONE (lassoscore)
Making 'packages.html' ... done