getPrior_delta

Compute the shape parameters from a Beta distribution for \(\delta\) based on some prior belief.

An implementation of Bayesian hierarchical models
for faecal egg count data to assess anthelmintic
efficacy. Bayesian inference is done via MCMC sampling using 'Stan' <https://mc-stan.org/>.

Craig Wang

eggCounts

Hierarchical Modelling of Faecal Egg Counts

Michaela Paul

Tea Isler

Reinhard Furrer

Trustees of Columbia University 

getPrior_delta function

<dl><dt>lower,upper,p</dt>
<dd>numeric. Prior belief about the reduction. There is <code>p</code> probability that the reduction is between <code>lower</code> and <code>upper</code>. Not used if <code>mode</code> and <code>conc</code> are supplied.</dd>
<dt>mode,conc</dt>
<dd>numeric. Prior belief about the reduction. The mode and concentration parameters of a beta distribution. Higher concentration indicates smaller variance. Not used if <code>lower</code> and <code>upper</code> thresholds are supplied.</dd>
<dt>plot</dt>
<dd>logical. If TRUE, the prior distribution is plotted after parameters are found.</dd></dl>

Arguments

Author

Get prior parameters from Beta distribution — getPrior_delta

<dl>

<dt>lower,upper,p</dt>
<dd>numeric. Prior belief about the reduction. There is <code>p</code> probability that the reduction is between <code>lower</code> and <code>upper</code>. Not used if <code>mode</code> and <code>conc</code> are supplied.</dd>


<dt>mode,conc</dt>
<dd>numeric. Prior belief about the reduction. The mode and concentration parameters of a beta distribution. Higher concentration indicates smaller variance. Not used if <code>lower</code> and <code>upper</code> thresholds are supplied.</dd>


<dt>plot</dt>
<dd>logical. If TRUE, the prior distribution is plotted after parameters are found.</dd>

</dl>

getPrior_delta: Get prior parameters from Beta distribution

Description

Usage

Value

Arguments

Author

Details

Examples