TDMR : Tuned Data Mining in R

Package: TDMR
Type: Package
Title: Tuned Data Mining in R
Version: 1.4
Date: 2016-05-19
Author: Wolfgang Konen <wolfgang.konen@fh-koeln.de>, Patrick Koch
<patrick.koch@fh-koeln.de>
Maintainer: Wolfgang Konen <wolfgang.konen@fh-koeln.de>
Description: Tuned Data Mining in R (TDMR) performs a complete tuning of a data
mining task.
License: GPL (>= 2)
Depends: R (>= 2.14.0), SPOT, twiddler
Suggests: cmaes, parallel, e1071, powell, ROCR, randomForest, rCMA,
rSFA
Imports: testit, adabag
Collate: 'makeTdmRandomSeed.r' 'printTDMclassifier.r'
'printTDMregressor.r' 'tdmBigLoop.r' 'tdmClassify.r'
'tdmClassifyLoop.r' 'tdmDefaultsFill.r' 'tdmDispatchTuner.r'
'tdmEmbedDataFrame.r' 'tdmEnvTMakeNew.r' 'tdmGeneralUtils.r'
'tdmGetObj.r' 'tdmGraphicUtils.r' 'tdmMapDesign.r'
'tdmMetacostRf.r' 'tdmModelingUtils.r' 'tdmOptsDefaults.r'
'tdmParaBootstrap.r' 'tdmPlotResMeta.r' 'tdmPreprocUtils.r'
'tdmReadData.r' 'tdmReadData2.r' 'tdmROCR.r' 'tdmRegress.r'
'tdmRegressLoop.r' 'tdmSplitTestData.r' 'tdmStartSpot.r'
'tdmStartOther.r' 'unbiasedBestRun_O.r' 'unbiasedRun.r'
'tdmExecSpotStep.r' 'tdmTuneIt.r'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-05-19 18:46:53 UTC; wolfgang
Repository: CRAN
Date/Publication: 2016-05-19 23:20:09