bayess (version 1.4)

gibbscap1: 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")