glmnet

Package: glmnet
Type: Package
Title: Lasso and Elastic-Net Regularized Generalized Linear Models
Version: 2.0-5
Date: 2016-3-15
Author: Jerome Friedman, Trevor Hastie, Noah Simon, Rob Tibshirani
Maintainer: Trevor Hastie <hastie@stanford.edu>
Depends: Matrix (>= 1.0-6), utils, foreach
Imports: methods
Suggests: survival, knitr, lars
Description: Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper linked to via the URL below.
License: GPL-2
VignetteBuilder: knitr
URL: http://www.jstatsoft.org/v33/i01/.
NeedsCompilation: yes
Packaged: 2016-03-16 21:07:09 UTC; hastie
Repository: CRAN
Date/Publication: 2016-03-17 14:00:48

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'glmnet' ...
** package 'glmnet' successfully unpacked and MD5 sums checked
 This package requires a fortran 90 compiler. We assume
 that your fortran 90 environment is set up appropriately.
 Reference: Section on 'Using F95 code' in R-exts manual.
 R_HOME is /home/ddbj/local/lib64/R
  R configured for gfortran...
configure: creating ./config.status
config.status: creating src/Makevars
** libs
gfortran -fdefault-real-8 -ffixed-form -fpic -g -O2  -c  glmnet5.f90 -o glmnet5.o
gfortran -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o glmnet.so glmnet5.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/glmnet/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'glmnet'
    finding HTML links ... done
    beta_CVX                                html  
    cv.glmnet                               html  
    deviance.glmnet                         html  
    glmnet-internal                         html  
    glmnet-package                          html  
    glmnet                                  html  
    glmnet.control                          html  
    plot.cv.glmnet                          html  
    plot.glmnet                             html  
    predict.cv.glmnet                       html  
    predict.glmnet                          html  
    print.glmnet                            html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (glmnet)
Making 'packages.html' ... done