Last data update: 2014.03.03

glasso

Package: glasso
Title: Graphical lasso- estimation of Gaussian graphical models
Version: 1.8
Author: Jerome Friedman, Trevor Hastie and Rob Tibshirani
Description: Graphical lasso
Maintainer: Rob Tibshirani <tibs@stat.stanford.edu>
License: GPL-2
URL: http://www-stat.stanford.edu/~tibs/glasso
Packaged: 2014-07-22 07:02:50 UTC; tibs
Repository: CRAN
Date/Publication: 2014-07-22 10:29:36
NeedsCompilation: yes

● 0 images, 2 functions, 0 datasets
Reverse Depends: 9

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'glasso' ...
** package 'glasso' 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 -ffloat-store -fpic -g -O2  -c  glasso.f90 -o glasso.o
gfortran -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o glasso.so glasso.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/glasso/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'glasso'
    finding HTML links ... done
    glasso                                  html  
    glassopath                              html  
** building package indices
** testing if installed package can be loaded
* DONE (glasso)
Making 'packages.html' ... done