Package: semiArtificial
Title: Generator of semi-artificial data
Version: 1.2.0
Date: 2014-03-15
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>
Description: Package semiArtificial contains methods to generate and evaluate semi-artificial data sets. 
 Based on a given data set different methods learn data properties using machine learning algorithms and
 generate new data with the same properties.
 The package currently includes the following data generator:
  -a RBF network based generator using rbfDDA from RSNNS package.
 More generators are planned in near future.
 Data evaluation support tools include:
  -single attribute based statistical evaluation: mean, median,standard deviation, skewness, kurtosis, KS test, Hellinger distance
  -evaluation based on clustering using Adjusted Rand Index (ARI)
  -evaluation based on classification performance with various learning models, eg, random forests.
License: GPL-3
URL: http://lkm.fri.uni-lj.si/rmarko/software/
Imports:
        RSNNS,CORElearn,MASS,nnet,cluster,mclust,fpc,stats,timeSeries,timeDate
Packaged: 2014-03-16 20:10:05 UTC; rmarko
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-17 20:36:07
Built: R 3.1.0; ; 2014-03-27 18:01:27 UTC; unix
