| gibbscap2 {bayess} | R Documentation |
Gibbs sampling for the Arnason-Schwarz capture-recapture model
Description
In the Arnason-Schwarz capture-recapture model (see Chapter 5), individual histories
are observed and missing steps can be inferred upon. For the dataset eurodip,
the moves between regions can be reconstituted. This is the first instance
of a hidden Markov model met in the book.
Usage
gibbscap2(nsimu, z)
Arguments
nsimu |
numbed of simulation steps in the Gibbs sampler |
z |
data, capture history of each individual, with |
Value
p |
Gibbs sample of capture probabilities across time |
phi |
Gibbs sample of survival probabilities across time and locations |
psi |
Gibbs sample of interstata movement probabilities across time and locations |
late |
Gibbs averages of completed histories |
Examples
data(eurodip)
res=gibbscap2(10,eurodip[1:100,])
plot(res$p,type="l",col="steelblue3",xlab="iterations",ylab="p")
[Package bayess version 1.6 Index]