Title: A Tool for Creating Custom Neural Networks in C++ and using Them
Description: Contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.

Title: The Lawson-Hanson NNLS algorithm for non-negative least squares
Description: An R interface to the Lawson-Hanson NNLS algorithm for non-negative least squares that solves the least squares problem A x = b with the constraint x >= 0.
Packaged: Sun Oct 14 20:32:59 2007; root

Package: nnls
Type: Package
Title: The Lawson-Hanson algorithm for non-negative least squares (NNLS)
Version: 1.1
Date: 2007-10-13
Author: Katharine M. Mullen and Ivo H. M. van Stokkum
Maintainer: Katharine M. Mullen <kate@nat.vu.nl>
Description: An R interface to the Lawson-Hanson algorithm for non-negative least squares (NNLS).  Also allows the combination of non-negative and non-positive constraints.
License: GPL version 2 or newer
Packaged: Mon Dec  3 00:12:49 2007; root

Package: nnls
Type: Package
Title: The Lawson-Hanson algorithm for non-negative least squares (NNLS)
Version: 1.2
Author: Katharine M. Mullen and Ivo H. M. van Stokkum
Maintainer: Katharine M. Mullen <kate@nat.vu.nl>
Description: An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS).  Also allows the combination of non-negative and non-positive constraints.
License: GPL (>= 2)
Packaged: Mon Sep  8 16:29:03 2008; root

Title: The Lawson-Hanson algorithm for non-negative least squares
Description: An R interface to the Lawson-Hanson implementation of an
algorithm for non-negative least squares (NNLS).  Also allows
the combination of non-negative and non-positive constraints.

Title: Nearest Neighbor Methods for Spatial Patterns
Description: Contains the functions for testing the spatial patterns (of segregation, spatial symmetry,
association, disease clustering, species correspondence and reflexivity) based on nearest neighbor relations,
especially using contingency tables such as nearest neighbor contingency tables, nearest neighbor symmetry
contingency tables, species correspondence contingency tables and reflexivity contingency tables for two
(or higher) dimensional data. Also contains functions for generating patterns of segregation, association,
uniformity in a multi-class setting, and various non-random labeling patterns for disease clustering in
two dimensional cases, and for visualization of all these patterns for the two dimensional data.
The tests are usually (asymptotic) normal z-tests and chi-square tests.
Imports: MASS, stats, graphics, Rdpack (>= 0.7)