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| dpCDFtesting-package | Comprehensively evaluate and visualize the output of dpCDF-generating algorithm implementations. dp = Differential Privacy |
| Abbrev | Tranforms long numbers into short strings. |
| badCDF | Make a straight-line faux CDF. |
| 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. |
| 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 | 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. |
| 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. |
| 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. |
| 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. |
| nodes | Node parser. |
| 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 |
| smoothVector2 | Enforce monotnocity on a vector. |
| StdDiffpdf | Error in Standard Deviation from CDF |
| TreeCDF | Creates a Tree then a CDF |
| VarDiffpdf | Error in Variance from CDF |