Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.
When the true value of a coefficient is relatively large (>3-4 for a standardized covariate), the estimated value might be pulled too much towards zero. Need to set even weaker default priors e.g. normal(0,10).
When the true value of a coefficient is relatively large (>3-4 for a standardized covariate), the estimated value might be pulled too much towards zero. Need to set even weaker default priors e.g.
normal(0,10).