MFM_core {MSRDT} | R Documentation |
Define the summed core function inside of the integration which gets the probability of passing the test given specific failure probabilities under different failure modes (for Multi-state RDT, Multiple Failure Modes).
MFM_core(n, cvec, pivec)
n |
RDT sample size |
cvec |
Maximum allowable failures for each separate period |
pivec |
Failure probability for each seperate period |
Core probability of passing the test given specific failure probabilities
MFM_consumerrisk
for getting the consumer's risk;
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_consumerrisk()
,
MFM_optimal_n()
#' #Example for two failure modes
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_core(n = 10, cvec = c(1, 1), pivec = c(pi1[1], pi2[1]));
#The function also works for more than two failure modes.
#However, the computation cost may increase.
#Example for three failure modes
MFM_core(n = 10, cvec = c(1, 1, 1), pivec = c(0.8, 0.9, 0.8));