Description Usage Arguments Value Examples

View source: R/freedom_functions_2.R

Calculates optimum sample size and cut-point positives to achieve specified population sensitivity, for given population size and other parameters, all paramaters must be scalars

1 |

`N` |
population size |

`sep` |
target population sensitivity |

`c` |
The maximum allowed cut-point number of positives to classify a cluster as positive, default=1, if positives < c result is negative, >= c is positive |

`se` |
test unit sensitivity |

`sp` |
test unit specificity, default=1 |

`pstar` |
design prevalence as a proportion or integer (number of infected units) |

`minSpH` |
minimium desired population specificity |

a list of 3 elements, a dataframe with 1 row and six columns for the recommended sample size and corresponding values for population sensitivity (SeP), population specificity (SpP), N, c and pstar, a vector of SeP values and a vector of SpP values, for n = 1:N

1 2 3 |

RSurveillance documentation built on May 29, 2017, 11:52 p.m.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.