Package: RSNNS
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: LGPL (>= 2) | file LICENSE
Title: Neural Networks in R using the Stuttgart Neural Network
        Simulator (SNNS)
LinkingTo: Rcpp
Type: Package
LazyLoad: yes
Author: Christoph Bergmeir and José M. Benítez
Description: The Stuttgart Neural Network Simulator (SNNS) is a library
    containing many standard implementations of neural networks. This
    package wraps the SNNS functionality to make it available from
    within R. Using the 'RSNNS' low-level interface, all of the
    algorithmic functionality and flexibility of SNNS can be accessed.
    Furthermore, the package contains a convenient high-level
    interface, so that the most common neural network topologies and
    learning algorithms integrate seamlessly into R.
Version: 0.4-9
URL: https://github.com/cbergmeir/RSNNS
BugReports: https://github.com/cbergmeir/RSNNS/issues
MailingList: rsnns@googlegroups.com
Date: 2016-12-16
Depends: R (>= 2.10.0), methods, Rcpp (>= 0.8.5)
Suggests: scatterplot3d,NeuralNetTools
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-12-16 06:07:33 UTC; bergmeir
Repository: CRAN
Date/Publication: 2016-12-16 08:33:39
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 06:46:09 UTC; windows
Archs: i386, x64
