Package: RSNNS
Type: Package
Version: 0.3
Date: 2010-11-10
Depends: R (>= 2.10.0), methods, Rcpp (>= 0.8.5)
Suggests: scatterplot3d
LazyLoad: yes
Author: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
Title: Neural Networks in R using the Stuttgart Neural Network
        Simulator (SNNS)
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, nearly all
        of the 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.
License: LGPL (>= 2)
LinkingTo: Rcpp
SystemRequirements: GNU make
Collate: 'art1.R' 'art2.R' 'assoz.R' 'dlvq.R' 'docData.R' 'elman.R'
        'jordan.R' 'mlp.R' 'parser.R' 'rbf.R' 'rbfDDA.R' 'reg_class.R'
        'RSNNS-package.R' 'rsnns.R' 'SnnsDefines.R'
        'SnnsR_createNets.R' 'SnnsR_masked.R' 'SnnsR_parser.R'
        'SnnsR_patterns.R' 'SnnsR_train.R' 'SnnsR_util.R'
        'SnnsRObjectFactory.R' 'som.R' 'util.R'
Packaged: 2010-11-15 11:52:07 UTC; bergmeir
Repository: CRAN
Date/Publication: 2010-11-15 13:14:18
