MFM_optimal_n: Optimal Test Sample Size for Multi-state RDT with Multiple...
In MSRDT: Multi-State Reliability Demonstration Tests (MSRDT)

Description Usage Arguments Value See Also Examples

Define the optimal function to find the optimal test plan with minimum test sample size given an acceptable level of consumer's risk (for Multi-state RDT, Multiple Failure Modes).

1	MFM_optimal_n(cvec, pivec, Rvec, thres_CR)

`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.
`thres_CR`	Threshold (acceptable level) of consumer's risk

Minimum test sample size

MFM_core for getting the core probability of passting the test; MFM_consumerrisk for getting the consumer's risk; MFM_Indicator for getting the binary indicator;

Other MSRDT for MFM functions: MFM_Indicator(), MFM_consumerrisk(), MFM_core()

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pi1 <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
pi2 <- pi_MCSim_beta(M = 5000, seed = 10, a = 2, b = 18)
MFM_optimal_n(cvec = c(1, 1), pivec = cbind(pi1, pi2), Rvec = c(0.8, 0.7), thres_CR = 0.05)