DerivDiff: Determine how well a single DPCDF matches the shape of its...

In CDF.PSIdekick: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions

Description

Calculates a score for how much the DP-CDF's slope varies from the true CDF's slope at various resolutions.

Usage

DerivDiff(Y, est, ...)

Arguments

Y	The vector output of a non-differentially private CDF computation (cumulative count bins)
est	The vector output of a differentially private CDF computation (cumulative count bins)
...	Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions.

Value

A single so-called derivative score; lower scores suggest better performance

Examples

DerivDiff(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1),c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1))

CDF.PSIdekick documentation built on May 30, 2017, 5:09 a.m.