Determine an approximate CDF's maximum error.

Description

Find the maximum direct error between a non-private CDF and a DP approximation of that CDF.

Usage

1
MaxError_CDF(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 value, the largest absolute vertical difference between parallel observations in the private- and true-CDF vectors.

Examples

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

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.