rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression

This package facilitates the use of data mining algorithms in classification and regression tasks by presenting a short and coherent set of functions. While several DM algorithms can be used, it is particularly suited for Neural Networks (NN) and Support Vector Machines (SVM).

Version: 1.1
Depends: nnet, kknn, kernlab, rpart, lattice, methods
Suggests: randomForest, MASS, mda
Published: 2011-04-25
Author: Paulo Cortez
Maintainer: Paulo Cortez <pcortez at dsi.uminho.pt>
License: GPL (≥ 2)
URL: http://www3.dsi.uminho.pt/pcortez/rminer.html
In views: MachineLearning
CRAN checks: rminer results

Downloads:

Package source: rminer_1.1.tar.gz
MacOS X binary: rminer_1.1.tgz
Windows binary: rminer_1.1.zip
Reference manual: rminer.pdf
Old sources: rminer archive