hd.beta

Computes the highest density interval for the beta distribution by optimization or simulation.

Computation of the minimum sample size using the Average
Coverage Criterion or the Average Length Criterion for estimating
binomial proportions using beta prior distributions. For more details
see Costa (2025) <DOI:10.1007/978-3-031-72215-8_14>.

Eliardo Costa

bssbinom

Bayesian Sample Size for Binomial Proportions

hd.beta function

<dl><dt>c</dt>
<dd>First parameter of the beta distribution.</dd>
<dt>d</dt>
<dd>Second parameter of the beta distribution.</dd>
<dt>rho</dt>
<dd>A number in (0, 1) representing the fixed probability for the HD interval.</dd>
<dt>len</dt>
<dd>A positive real number representing the fixed length for the HD interval.</dd>
<dt>N</dt>
<dd>Number of replicates used in the simulation when the length is fixed. Default is 1000.</dd></dl>

Arguments

HD interval for the beta distribution — hd.beta

<dl>

<dt>c</dt>
<dd>First parameter of the beta distribution.</dd>


<dt>d</dt>
<dd>Second parameter of the beta distribution.</dd>


<dt>rho</dt>
<dd>A number in (0, 1) representing the fixed probability for the HD interval.</dd>


<dt>len</dt>
<dd>A positive real number representing the fixed length for the HD interval.</dd>


<dt>N</dt>
<dd>Number of replicates used in the simulation when the length is fixed. Default is 1000.</dd>

</dl>

hd.beta: HD interval for the beta distribution

Description

Usage

Value

Arguments

References

Examples