The prevalence package provides Frequentist and Bayesian methods useful in prevalence assessment studies. Visit http://prevalence.cbra.be/ for more information and tutorials.

Package: | prevalence |

Type: | Package |

Version: | 0.4.0 |

Date: | 2015-04-20 |

BugReports: | https://github.com/brechtdv/prevalence/issues |

Depends: | R (>= 3.0.0), rjags, coda, methods |

SystemRequirements: | JAGS (>= 3.2.0) (see http://mcmc-jags.sourceforge.net) |

License: | GNU >= 2 |

Available functions in the prevalence package:

`propCI` | Derive confidence intervals for an apparent prevalence estimate |

`truePrev` | Estimate TP from AP obtained by testing individual samples with a single test |

`truePrevMulti` | Estimate TP from AP obtained by testing individual samples with multiple tests, using a conditional probability scheme |

`truePrevMulti2` | Estimate TP from AP obtained by testing individual samples with multiple tests, using a covariance scheme |

`truePrevPools` | Estimate TP from AP obtained by testing pooled samples |

`betaPERT` | Calculate the parameters of a Beta-PERT distribution |

`betaExpert` | Calculate the parameters of a Beta distribution based on expert opinion |

**IMPORTANT**: the `truePrev`

functions in the prevalence package call on JAGS (Just Another Gibbs Sampler), through the rjags package. Therefore, JAGS has to be installed on the user's system.

JAGS can be downloaded from http://sourceforge.net/projects/mcmc-jags/

**Creator, Maintainer**

Brecht Devleesschauwer <brechtdv@gmail.com>

**Contributors**

Paul Torgerson, Johannes Charlier, Bruno Levecke, Nicolas Praet, Sophie Roelandt, Suzanne Smit, Pierre Dorny, Dirk Berkvens, Niko Speybroeck

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.