MSE: Calculate the MSE of a DP-CDF relative to the non-private...

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

Description

Calculates the Mean Squared Error area between the non-private CDF and the DP-CDF

Usage

MSE(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

The MSE

Examples

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

Example output

[1] 0.08

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