Title: Neural Networks in R using the Stuttgart Neural Network
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.
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'

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.
Collate: 'art1.R' 'art2.R' 'artmap.R' 'assoz.R' 'dlvq.R' 'docData.R'
'elman.R' 'jordan.R' 'mlp.R' 'normalizeData.R' 'parser.R'
'rbf.R' 'rbfDDA.R' 'reg_class.R' 'RSNNS-package.R' 'rsnns.R'

accessed.  Furthermore, the package contains a convenient

Author: Christoph Bergmeir and José M. Benítez

within R. Using the RSNNS low-level interface, all of the

Author: Chanhee Yi, Alexander Sibley, and Kouros Owzar
Description: RSNPset is a software implementation of the use of efficient score statistics
in genome-wide SNP set analysis with complex traits. The package provides three standard
score statistics (Cox, Binomial, and Gaussian) but is easily extensible to include
others. Code implementing the inferential procedure is primarily written in C++ and
utilizes parallelization of the analysis to reduce runtime. A supporting function offers
simple computation of observed, permutation, and FWER and FDR adjusted p-values.

Title: Efficient Score Statistics For Genome-Wide SNP Set Analysis
Description: RSNPset is an implementation of the use of efficient score statistics