treeGetParameters: Epsilon for a differentially private binary tree

In privacytoolsproject/PSI-Library: Differentially Private Statistical Releases for Privacy Preservation

Description

Epsilon for a differentially private binary tree

Usage

treeGetParameters(accuracy, rng, gran, alpha = 0.05)

Arguments

accuracy	Numeric accuracy needed
rng	Numeric a priori estimate of the variable range
gran	Numeric granularity
alpha	Numeric level of statistical significance, default 0.05

Value

Epsilon necessary to guarantee the given accuracy

privacytoolsproject/PSI-Library documentation built on Feb. 17, 2020, 2:03 p.m.