prevalence-package: Tools for prevalence assessment studies
In brechtdv/prevalence: Tools for Prevalence Assessment Studies

prevalence-package

R Documentation

Tools for prevalence assessment studies

Description

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

Details

Package:	prevalence
Type:	Package
Version:	0.4.1
Date:	2022-06-03
BugReports:	https://github.com/brechtdv/prevalence/issues
Depends:	R (>= 4.0.0), rjags, coda, methods
SystemRequirements:	JAGS (>= 3.2.0) (see https://mcmc-jags.sourceforge.io/)
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 https://mcmc-jags.sourceforge.io/

Author(s)

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

brechtdv/prevalence documentation built on June 8, 2022, 4:54 a.m.