nnet

Package: nnet
Priority: recommended
Version: 7.3-12
Date: 2016-02-02
Depends: R (>= 2.14.0), stats, utils
Suggests: MASS
Authors@R: c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
email = "ripley@stats.ox.ac.uk"),
person("William", "Venables", role = "cph"))
Description: Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models.
Title: Feed-Forward Neural Networks and Multinomial Log-Linear Models
ByteCompile: yes
License: GPL-2 | GPL-3
URL: http://www.stats.ox.ac.uk/pub/MASS4/
NeedsCompilation: yes
Packaged: 2016-02-02 09:12:29 UTC; ripley
Author: Brian Ripley [aut, cre, cph],
William Venables [cph]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Repository: CRAN
Date/Publication: 2016-02-02 14:52:39

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'nnet' ...
** package 'nnet' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c nnet.c -o nnet.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o nnet.so nnet.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/nnet/libs
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package 'nnet'
    finding HTML links ... done
    class.ind                               html  
    multinom                                html  
    nnet.Hess                               html  
    nnet                                    html  
    predict.nnet                            html  
    which.is.max                            html  
** building package indices
** testing if installed package can be loaded
* DONE (nnet)
Making 'packages.html' ... done