Package: rminer
Type: Package
Title: Data Mining Classification and Regression Methods
Version: 1.4
Date: 2014-11-06
Author: Paulo Cortez
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4 - new classification and regression models/algorithms, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics (improved mmetric function); 1.2 - new input importance methods (improved Importance function); 1.0 - first version.
License: GPL (>= 2)
URL: http://cran.r-project.org/web/packages/rminer/
        http://www3.dsi.uminho.pt/pcortez/rminer.html
LazyLoad: yes
Depends: kknn
Imports: methods, plotrix, lattice, nnet, pls, MASS, mda, rpart,
        randomForest, adabag, party, Cubist, kernlab, e1071
Packaged: 2014-11-07 11:34:12 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-07 14:06:09
Built: R 3.1.2; ; 2014-11-08 17:09:13 UTC; unix
