bacceptprob: Acceptance Probability for Binomial RDT
In BRDT: Binomial Reliability Demonstration Tests
Description
Usage
Arguments
Value
Examples
Description
Define the acceptance probability function which gets the probability of passing the test (for binomial RDT).
Usage
1
bacceptprob(n, c, pi)
Arguments
n
RDT sample size.
c
Maximum allowable failures.
pi
Failure probability.
Value
Acceptance probability
Examples
1
2
pi <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
bacceptprob(n = 10, c = 2, pi = pi);
BRDT documentation built on July 1, 2020, 9:35 p.m.
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Description Usage Arguments Value Examples
Description
Define the acceptance probability function which gets the probability of passing the test (for binomial RDT).
Usage
1 | bacceptprob(n, c, pi)
|
Arguments
n |
RDT sample size. |
c |
Maximum allowable failures. |
pi |
Failure probability. |
Value
Acceptance probability
Examples
1 2 | pi <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
bacceptprob(n = 10, c = 2, pi = pi);
|
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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