boptimal_n {BRDT} | R Documentation |

## Optimal Test Sample Size for Binomial RDT

### 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

`boptimal_cost`

for getting the optial test plan with minimum overall cost;
`bdata_generator`

for generating optimal test plans dataset;

### 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)
```

[Package

*BRDT*version 0.1.0 Index]