print-methods

print,prev-method

An object of class <code>prev</code>

Confidence level to be used in credibility interval

conf.level

Other arguments to pass to the <code>print</code> function

&#8230;

Print objects of class <code>prev</code>

methods

The prevalence package provides Frequentist and Bayesian methods for prevalence assessment studies. IMPORTANT: the truePrev functions in the prevalence package call on JAGS (Just Another Gibbs Sampler), which therefore has to be available on the user's system. JAGS can be downloaded from <https://mcmc-jags.sourceforge.io/>.

Brecht Devleesschauwer

prevalence

Tools for Prevalence Assessment Studies

Paul Torgerson

Johannes Charlier

Bruno Levecke

Nicolas Praet

Sophie Roelandt

Suzanne Smit

Pierre Dorny

Dirk Berkvens

Niko Speybroeck

print-methods function

<dl class="dl-horizontal">
 <dt><code>signature(x = "prev")</code></dt><dd>Print mean, median, mode, standard deviation and credibility interval of estimated true prevalence, sensitivities and specificities. In addition, print multivariate <a rd-options="coda:gelman.diag" href="/link/Brooks-Gelman-Rubin%20statistic?package=prevalence&version=0.4.1&to=coda%3Agelman.diag" data-mini-rdoc="coda:gelman.diag::Brooks-Gelman-Rubin statistic">Brooks-Gelman-Rubin statistic</a> (or univariate BGR statistic with corresponding upper confidence limit in case of a single stochastic node). BGR values substantially above 1 indicate lack of convergence. For <code>prev</code> objects created by <code><a rd-options="" href="/link/truePrevMulti?package=prevalence&version=0.4.1" data-mini-rdoc="prevalence::truePrevMulti">truePrevMulti</a></code>, the Bayes-P statistic is also printed. Bayes-P should be as close to 0.5 as possible.</dd>
 </dl>

Methods

Methods for Function <code>print</code> in Package prevalence — print-methods

<dl class='dl-horizontal'>
 <dt><code>signature(x = "prev")</code></dt><dd>Print mean, median, mode, standard deviation and credibility interval of estimated true prevalence, sensitivities and specificities. In addition, print multivariate <a rd-options='coda:gelman.diag' href='Brooks-Gelman-Rubin statistic'>Brooks-Gelman-Rubin statistic</a> (or univariate BGR statistic with corresponding upper confidence limit in case of a single stochastic node). BGR values substantially above 1 indicate lack of convergence. For <code>prev</code> objects created by <code><a rd-options='' href='truePrevMulti'>truePrevMulti</a></code>, the Bayes-P statistic is also printed. Bayes-P should be as close to 0.5 as possible.</dd>
 </dl>

print-methods: Methods for Function `print` in Package prevalence

Description

Usage

Arguments

Methods

See Also