Description Usage Arguments Value See Also Examples
View source: R/MFM_consumerrisk.R
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).
1 | MFM_consumerrisk(n, cvec, pivec, Rvec)
|
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. |
Probability for consumer's risk
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()
1 2 3 | 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))
|
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