Usage
then_geometric(lhs, scale, bounds = NULL, .MO = "MaxDivergence")
Arguments
- lhs
The prior transformation or metric space.
- scale
Noise scale parameter for the distribution. scale == standard_deviation / sqrt(2).
- bounds
Set bounds on the count to make the algorithm run in constant-time.
- .MO
Measure used to quantify privacy loss. Valid values are just MaxDivergence