dpPropTest: DP Population Proportion Test
In ttran2401/binomialDP: Differentially Private Inference for Binomial Data
Description
Usage
Arguments
Value
Examples
Description
DP Population Proportion Test
Usage
1
dpPropTest(Z, size, theta, b, q, alternative, alpha)
Arguments
Z
A Binomial sample with Tulap noise
size
The number of trials in Binomial distribution (parameter n in
Binomial(n, θ))
theta
The success probability for each trial (parameter θ
in Binomial(n, θ))
b
Discrete Laplace noise parameters, obtained by exp(-ε)
q
The truncated quantiles
alternative
The type of alternative hypothesis, must be
"two.sided", "less", or "greater"
alpha
The confidence level of the confidence interval
Value
A table summary of the sample estimate, the p-value of the test, and
the confidence interval of θ
Examples
1
dpPropTest(9, 30, 0.5, exp(-1), 0.05, "less", 0.05)
ttran2401/binomialDP documentation built on July 7, 2020, 1:18 a.m.
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Description Usage Arguments Value Examples
Description
DP Population Proportion Test
Usage
1 | dpPropTest(Z, size, theta, b, q, alternative, alpha)
|
Arguments
Z |
A Binomial sample with Tulap noise |
size |
The number of trials in Binomial distribution (parameter n in Binomial(n, θ)) |
theta |
The success probability for each trial (parameter θ in Binomial(n, θ)) |
b |
Discrete Laplace noise parameters, obtained by exp(-ε) |
q |
The truncated quantiles |
alternative |
The type of alternative hypothesis, must be
|
alpha |
The confidence level of the confidence interval |
Value
A table summary of the sample estimate, the p-value of the test, and the confidence interval of θ
Examples
1 | dpPropTest(9, 30, 0.5, exp(-1), 0.05, "less", 0.05)
|
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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