MFM_core {MSRDT} | R Documentation |
Probability Core for Multi-state RDT with Multiple Failure Modes (MFM)
Description
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).
Usage
MFM_core(n, cvec, pivec)
Arguments
n |
RDT sample size |
cvec |
Maximum allowable failures for each separate period |
pivec |
Failure probability for each seperate period |
Value
Core probability of passing the test given specific failure probabilities
See Also
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()
Examples
#' #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));
[Package MSRDT version 0.1.0 Index]