treeGetAccuracy: Accuracy for a differentially private binary tree
In IQSS/PSI-Library: Differentially Private Statistical Releases for Privacy Preservation
Description
Usage
Arguments
Value
View source: R/statistic-tree.R
Description
Accuracy for a differentially private binary tree
Usage
1
treeGetAccuracy(epsilon, rng, gran, alpha = 0.05)
Arguments
epsilon
Numeric differential privacy parameter
rng
Numeric a priori estimate of the variable range
gran
Numeric granularity
alpha
Numeric level of statistical significance, default 0.05
Value
Accuracy guarantee for the tree given epsilon
IQSS/PSI-Library documentation built on Feb. 15, 2020, 9:03 p.m.
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Description Usage Arguments Value
View source: R/statistic-tree.R
Description
Accuracy for a differentially private binary tree
Usage
1 | treeGetAccuracy(epsilon, rng, gran, alpha = 0.05)
|
Arguments
epsilon |
Numeric differential privacy parameter |
rng |
Numeric a priori estimate of the variable range |
gran |
Numeric granularity |
alpha |
Numeric level of statistical significance, default 0.05 |
Value
Accuracy guarantee for the tree given epsilon
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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