Description Usage Arguments Details Value Author(s) References See Also Examples
Comparative point and interval estimates for the population size N obtained fitting many alternative behavioural and time effect capture-recapture models. Log marginal likelihood is reported for each alternative model.
1 2 3 4 |
data |
can be one of the following:
M is the number of units captured at least once and t is the number of capture occasions. |
last.column.count |
a logical. In the default case |
neval |
a positive integer. |
by.incr |
a positive integer. |
nsim |
a positive integer. |
burnin |
a positive integer. |
nsim.ML |
a positive integer. Whenever MCMC is needed |
burnin.ML |
a positive integer. Whenever MCMC is needed |
num.t |
a positive integer. Whenever MCMC is needed |
prior.N |
a character. |
which.mod |
a character. |
sort |
character. |
The available models are: M_0, M_b, M_t, M_{c_1}, M_{c_1b}, M_{c_2}, M_{c_2b}, M_{mc}, M_{mc_{int}}, M_{mc_{count}} and M_{mc_{count.int}}.
This function BBRecap.all
can be computing intensive for high values of neval
and nsim
.
A data.frame
with one row corresponding to each model and the following columns:
A dataframe with one row corresponding to each model and the following columns:
model: model considered
npar: number of parameters
log.marginal.likelihood: log marginal likelihood
Nhat: estimate of population size
Ninf: lower 95 \% highest posterior density interval
Nsup: upper 95 \% highest posterior density interval
Danilo Alunni Fegatelli and Luca Tardella
Otis D. L., Burnham K. P., White G. C, Anderson D. R. (1978) Statistical Inference From Capture Data on Closed Animal Populations, Wildlife Monographs.
Yang H.C., Chao A. (2005) Modeling animals behavioral response by Markov chain models for capture-recapture experiments, Biometrics 61(4), 1010-1017
N. Friel and A. N. Pettitt. Marginal likelihood estimation via power posteriors. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70(3):589, 607–2008
Farcomeni A. (2011) Recapture models under equality constraints for the conditional capture probabilities. Biometrika 98(1):237–242
Alunni Fegatelli, D. and Tardella, L. (2012) Improved inference on capture recapture models with behavioural effects. Statistical Methods & Applications Applications Volume 22, Issue 1, pp 45-66 10.1007/s10260-012-0221-4
Alunni Fegatelli D. (2013) New methods for capture-recapture modelling with behavioural response and individual heterogeneity. http://hdl.handle.net/11573/918752
1 2 3 4 5 | ## Not run:
data(hornedlizard)
BBRecap.all(hornedlizard,neval=200)
## End(Not run)
|
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