View source: R/Canonne_implementation.R
Canonne_test | R Documentation |
Implementation of Algorithm 3 in Canonne et al. (2019), which tests whether multivariate Gaussian data comes is centered at 0.
Canonne_test(data, epsilon, delta, alpha)
data |
An 'n' by 'd' dataframe where 'n' is the number of observations and 'd' is the number of dimensions. |
epsilon |
The privacy parameter. |
delta |
The privacy parameter. |
alpha |
As in the paper, this is the effect size the test should be able to detect. THIS IS NOT THE SIGNIFICANCE LEVEL! |
The result is either to "REJECT" or "FAIL TO REJECT" the null hypothesis.
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