ardipper

This function is associated with Chapter 5 on capture-recapture model.
It simulates samples from the non-standard 
distribution on \(r_1\), the number of individuals vanishing
between the first and second experiments, as expressed in (5.4)
in the book, conditional on \(r_2\), the number of individuals vanishing
between the second and third experiments.

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

ardipper function

<dl> <dt>nsimu</dt>
<dd>number of simulations</dd> <dt>n1</dt>
<dd>first capture sample size</dd> <dt>c2</dt>
<dd>number of individuals recaptured during the second experiment</dd> <dt>c3</dt>
<dd>number of individuals recaptured during the third experiment</dd> <dt>r2</dt>
<dd>number of individuals vanishing between the second and third experiments</dd> <dt>q1</dt>
<dd>probability of disappearing from the population</dd></dl>

Arguments

Accept-reject algorithm for the open population capture-recapture model — ardipper

<dl>

 <dt>nsimu</dt>
<dd>number of simulations</dd>

 <dt>n1</dt>
<dd>first capture sample size</dd>

 <dt>c2</dt>
<dd>number of individuals recaptured during the second experiment</dd>

 <dt>c3</dt>
<dd>number of individuals recaptured during the third experiment</dd>

 <dt>r2</dt>
<dd>number of individuals vanishing between the second and third experiments</dd>

 <dt>q1</dt>
<dd>probability of disappearing from the population</dd>

</dl>

ardipper: Accept-reject algorithm for the open population capture-recapture model

Description

Usage

Value

Arguments

Examples