boptimal_n {MSRDT} | R Documentation |
Define the optimal function to find the optimal test plan with minimum test sample size given an acceptable level of consumer's risk (for binomial RDT).
boptimal_n(c, pi, R, thres_CR)
c |
Maximum allowable failures |
pi |
Failure probability |
R |
Lower level reliability requirement |
thres_CR |
Threshold (acceptable level) of consumer's risk |
Minimum test sample size
bcore
for getting the core probability of passting the test;
bconsumerrisk
for getting the consumer's risk;
bIndicator
for getting the binary indicator;
Other Binomial RDT functions:
bIndicator()
,
bconsumerrisk()
,
bcore()
pi <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
boptimal_n(c = 2, pi = pi, R = 0.8, thres_CR = 0.05)