MFM_consumerrisk {MSRDT} | R Documentation |
Consumer's Risk for Multi-state RDT with Multiple Failure Modes (MFM)
Description
Define the consumer risk function which gets the probability of passing the test when the lower level reliability requirements are not satisfied under different failure modes (for Multi-state RDT, Multiple Failure Modes).
Usage
MFM_consumerrisk(n, cvec, pivec, Rvec)
Arguments
n |
RDT sample size |
cvec |
Maximum allowable failures for each separate period |
pivec |
Failure probability for each seperate period |
Rvec |
Lower level reliability requirements for each cumulative period from the begining of the test. |
Value
Probability for consumer's risk
See Also
MFM_core
for getting the core probability of passting the test;
MFM_Indicator
for getting the binary indicator;
MFM_optimal_n
for getting the optimal test sample size;
Other MSRDT for MFM functions:
MFM_Indicator()
,
MFM_core()
,
MFM_optimal_n()
Examples
pi1 <- pi_MCSim_beta(M = 1000, seed = 10, a = 1, b = 1)
pi2 <- pi_MCSim_beta(M = 1000, seed = 10, a = 2, b = 18)
MFM_consumerrisk(n = 10, cvec = c(1, 1), pivec = cbind(pi1, pi2), Rvec = c(0.8, 0.7))
[Package MSRDT version 0.1.0 Index]