Description Usage Arguments Value See Also Examples

View source: R/bconsumerrisk.R

Define the consumer's risk function which gets the probability of passing the test when the lower level reliability requirement is not satisfied (for binomial RDT).

1 | ```
bconsumerrisk(n, c, pi, R)
``` |

`n` |
RDT sample size. |

`c` |
Maximum allowable failures. |

`pi` |
Failure probability. |

`R` |
Lower level reliability requirement. |

Probability of consumer's risk

`bcore`

for getting the core probability of passting the test;
`boptimal_n`

for getting the optimal test sample size;
`bIndicator`

for getting the binary indicator;

1 2 | ```
pi <- pi_MCSim_beta(M = 1000, seed = 10, a = 1, b = 1)
bconsumerrisk(n = 10, c = 2, pi = pi, R = 0.8);
``` |

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