boptimal_n: Optimal Test Sample Size for Binomial RDT

In MSRDT: Multi-State Reliability Demonstration Tests (MSRDT)

Description

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).

Usage

boptimal_n(c, pi, R, thres_CR)

Arguments

c	Maximum allowable failures
pi	Failure probability
R	Lower level reliability requirement
thres_CR	Threshold (acceptable level) of consumer's risk

Value

Minimum test sample size

See Also

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()

Examples

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)

MSRDT documentation built on July 2, 2020, 2:13 a.m.