probet

This function computes the coverage of the interval \((a,b)\) by the Beta 
\(\mathrm{B}(\alpha,\alpha (1-c)/c)\) distribution.

Beta distribution

capture-recapture

prior elicitation

Allows the reenactment of the R programs used in
the book Bayesian Essentials with R without further programming.
R code being available as well, they can be modified by the user
to conduct one's own simulations.
Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.

JeanMichel Marin

bayess

Bayesian Essentials with R

probet function

<dl> <dt>a</dt>
<dd>lower bound of the prior 95%~confidence interval</dd> <dt>b</dt>
<dd>upper bound of the prior 95%~confidence interval</dd> <dt>c</dt>
<dd>mean parameter of the prior distribution</dd> <dt>alpha</dt>
<dd>scale parameter of the prior distribution</dd></dl>

Arguments

Coverage of the interval \((a,b)\) by the Beta cdf — probet

<dl>

 <dt>a</dt>
<dd>lower bound of the prior 95%~confidence interval</dd>

 <dt>b</dt>
<dd>upper bound of the prior 95%~confidence interval</dd>

 <dt>c</dt>
<dd>mean parameter of the prior distribution</dd>

 <dt>alpha</dt>
<dd>scale parameter of the prior distribution</dd>

</dl>

probet: Coverage of the interval \((a,b)\) by the Beta cdf

Description

Usage

Value

Arguments

See Also

Examples