gibbs2: Gibbs sampler for the two-stage open population...

In bayess: Bayesian Essentials with R

Gibbs sampler for the two-stage open population capture-recapture model

Description

This function implements a regular Gibbs sampler associated with Chapter 5 for a two-stage capture recapture model with open populations, accounting for the possibility that some individuals vanish between two successive capture experiments.

Usage

gibbscap1(nsimu, n1, c2, c3, N0 = n1/runif(1), r10, r20)

Arguments

nsimu	number of simulated values in the sample
n1	first capture population size
c2	number of individuals recaptured during the second experiment
c3	number of individuals recaptured during the third experiment
N0	starting value for the population size
r10	starting value for the number of individuals who vanished between the first and second experiments
r20	starting value for the number of individuals who vanished between the second and third experiments

Value

N	Gibbs sample of the simulated population size
p	Gibbs sample of the probability of capture
q	Gibbs sample of the probability of leaving the population
r1	Gibbs sample of the number of individuals who vanished between the first and second experiments
r2	Gibbs sample of the number of individuals who vanished between the second and third experiments

Examples

res=gibbscap1(100,32,21,15,200,10,5)
plot(res$p,type="l",col="steelblue3",xlab="iterations",ylab="p")

bayess documentation built on Aug. 11, 2022, 5:07 p.m.