Abbrev                  Tranforms long numbers into short strings.
CDFtest                 Comprehensively evaluate and visualize the
                        utility of CDF-generating implementations.
CDFtestTrack            Test a single CDF implementation with one set
                        of parameters.
CDFtestTrackx           Test a single CDF implementation with one set
                        of parameters.
DerivDiff               Determine how well a single DPCDF matches the
                        shape of its data.
KurtDiffpdf             Error in Kurtosis from CDF (under development)
L1empiric               Calculate the area between two CDFs.
L2empiric               Calculate the empirical L2norm between two
                        CDFs.
MAE                     Calculate the MAE of a dpCDF relative to that
                        of the non-private CDF.
MSE                     Calculate the MSE of a DP-CDF relative to the
                        non-private CDF.
MSEanalytic             Determine the expected MSE of a simple DPCDF
                        from its parameters.
MaxErrorAt_CDF          Locate where the maximum error occurs between
                        two CDFs
MaxErrorAt_PDF          Locate where the maximum error occurs between
                        two PDFs
MaxError_CDF            Determine an approximate CDF's maximum error.
MaxError_PDF            Determine an approximate PDF's maximum error.
MeanDiffpdf             Error in mean from CDF
Medians                 Retrieve a median estimate from the dpCDF
ModeDiffpdf             Error in Mode from CDF
MovetoRange             Clamp a value to a specified range.
QuantileFromCDF         Retrieve a private quantile estimate from the
                        dpCDF
SDempiric               Calculate the std. dev. on a DPCDF.
SkewDiffpdf             Error in Skewness from CDF (under development)
Smooth                  Monotonicity enforcement
StdDiffpdf              Error in Standard Deviation from CDF
TreeCDF                 Creates a Tree then a CDF
VarDiffpdf              Error in Variance from CDF
badCDF                  Make a straight-line faux CDF.
diffat25                Determine the distance between CDFs at the .25
                        quantile.
diffat75                Determine the distance between CDFs at the .75
                        quantile.
diffatMedian            Determine the distance between CDFs at the
                        median.
diffatQuantile          Determine the distance between CDFs at key
                        quantiles.
dpCDFtesting-package    Comprehensively evaluate and visualize the
                        output of dpCDF-generating algorithm
                        implementations. dp = Differential Privacy
findMaxError            Locate where the maximum error occurs between
                        two CDFs
functionH               Create a DP-CDF by creating a K-degree noisy
                        tree
functionHmono           Create a monotonically increasing DP-CDF by
                        creating a K-degree noisy tree
functionS2              Build dpCDFs through Histogram smoothing and
                        minimized expected L2 per bin
functionSUB             Build dpCDFs through use of a noisy tree with
                        bin merging.
getMaxError             Determine an approximate CDF's maximum error.
getMean                 Calculate the private mean from the DP-CDF
horzdiffat25            Determine the distance between the .25 quantile
                        values returned by two CDFs.
horzdiffat75            Determine the distance between the .75 quantile
                        values returned by two CDFs.
horzdiffatMed           Determine the distance between the median
                        values returned by two CDFs.
horzdiffatQuantile      Determine the distance between the quantile
                        values returned by two CDFs.
nodes                   Node parser.
smoothVector2           Enforce monotnocity on a vector.
