Opts                    Return the list 'opts'.
TDMR-package            Tuned Data Mining in R
defaultOpts             Default settings for the data mining part of
                        TDMR (list 'opts').
defaultSC               Default settings for the spotConfig part of
                        TDMR.
dsetTest.TDMdata        Return test data of 'TDMdata' object
dsetTrnVa.TDMdata       Return train-validation data of 'TDMdata'
                        object
predict.TDMenvir        Make a prediction using the last model.
print.TDMclassifier     Print an overview for a 'TDMclassifier' object.
print.TDMdata           Print an overview for a 'TDMdata' object.
print.TDMregressor      Print an overview for a 'TDMregressor' object.
setParams               Merge the parameters from a partial list and
                        the default list
tdmBigLoop              Tuning and unbiased evaluation in a big loop.
tdmBindResponse         Bind a column to a data frame.
tdmClassify             Core classification function of TDMR.
tdmClassifyLoop         Core classification double loop returning a
                        'TDMclassifier' object.
tdmClassifySummary      Print summary output for 'result' from
                        'tdmClassifiyLoop' and add 'result$y'.
tdmDefaultsFill         Default values for list 'tdm'.
tdmEnvTAddBstRes        Add BST and RES data frames to an existing
                        'envT' environment.
tdmEnvTAddGetters       Add getter functions getBst and getRes to
                        environment envT
tdmEnvTGetOpts          Return list opts from the 'k'-th element of
                        'envT$sCList'
tdmEnvTLoad             Load an 'envT'-type environment from file
                        'fileRData'.
tdmEnvTMakeNew          Construct a new environment envT of class
                        'TDMenvir'.
tdmEnvTReport           Make a report plot based on 'envT'
tdmEnvTReportSens       Function to generate a report with sensitivity
                        plot.
tdmEnvTSetOpts          Set list opts for the 'k'-th element of
                        'envT$sCList'
tdmEnvTUpdate           Update 'envT$tdm'
tdmGraAndLogFinalize    Finalize graphics and log file
tdmGraAndLogInitialize
                        Initialize graphics and log file.
tdmGraphicCloseDev      Close all open graphic devices.
tdmGraphicCloseWin      Close active file ("png").
tdmGraphicInit          Initialize graphic device.
tdmGraphicNewWin        Initialize a new window.
tdmGraphicToTop         Bring the acitve window to the top
tdmMapDesApply          Apply the mapping from 'des' to 'opts'.
tdmMapDesLoad           Load the mapping files.
tdmModConfmat           Calculate confusion matrix, gain and RGain
                        measure.
tdmModCreateCVindex     Create and return a training-validation-set
                        index vector.
tdmModSortedRFimport    Sort the input variables decreasingly by their
                        RF-importance.
tdmModVote2Target       Analyze how the vote fraction corresponds to
                        reliability of prediction.
tdmOptsDefaultsSet      Default values for list 'opts'.
tdmParaBootstrap        Parametric bootstrap: add 'noisy copies' to a
                        data frame (training data).
tdmPreAddMonomials      Add monomials of degree 2 to a data frame.
tdmPreFindConstVar      Find constant columns.
tdmPreGroupLevels       Group the levels of factor variable in
                        'dset[,colname]'.
tdmPreLevel2Target      Relate levels of a column with a target
                        (column).
tdmPreNAroughfix        Replace <NA> values with suitable non <NA>
                        values
tdmPrePCA.apply         Apply PCA (Principal Component Analysis) to new
                        data.
tdmPrePCA.train         PCA (Principal Component Analysis) for numeric
                        columns in a data frame.
tdmPreSFA.apply         Apply SFA (Slow Feature Analysis) to new data.
tdmPreSFA.train         SFA (Slow Feature Analysis) for numeric columns
                        in a data frame.
tdmROCR.TDMclassifier   Interactive plot of ROC, lift or other charts
                        for a 'TDMclassifier' object.
tdmROCRbase             Single plot of ROC, lift or other chart for a
                        'TDMclassifier' object.
tdmRandomSeed           Generates pseudo-random random number seeds.
tdmReadAndSplit         Read and split the task data.
tdmReadDataset          Read data accoroding to 'opts' settings.
tdmReadTaskData         Read task data.
tdmRegress              Core regression function of TDMR.
tdmRegressLoop          Core regression double loop returning a
                        'TDMregressor' object.
tdmRegressSummary       Print summary output for 'result' from
                        'tdmRegressLoop' and add 'result$y'.
tdmTuneIt               Tuning and unbiased evaluation (single tuning).
unbiasedRun             Perform unbiased runs with best-solution
                        parameters.
