Draw samples from the posterior predictive distribution
Draw samples from the empirical Bayes posterior predictive distribution derived from unmarked models or ranef objects
## S4 method for signature 'unmarkedRanef' posteriorSamples(object, nsims=100, ...) ## S4 method for signature 'unmarkedFit' posteriorSamples(object, nsims=100, ...)
object |
An object inheriting class |
nsims |
Number of draws to make from the posterior predictive distribution |
... |
Other arguments |
unmarkedPostSamples object containing the draws from the
posterior predictive distribution. The draws are in the @samples slot.
Ken Kellner contact@kenkellner.com
# Simulate data under N-mixture model set.seed(4564) R <- 20 J <- 5 N <- rpois(R, 10) y <- matrix(NA, R, J) y[] <- rbinom(R*J, N, 0.5) # Fit model umf <- unmarkedFramePCount(y=y) fm <- pcount(~1 ~1, umf, K=50) # Estimates of conditional abundance distribution at each site (re <- ranef(fm)) #Draw from the posterior predictive distribution (ppd <- posteriorSamples(re, nsims=100))
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