unmarked (version 1.0.1)

posteriorSamples: Draw samples from the posterior predictive distribution

Description

Draw samples from the empirical Bayes posterior predictive distribution derived from unmarked models or ranef objects

Usage

# S4 method for unmarkedRanef
posteriorSamples(object, nsims=100, ...)
# S4 method for unmarkedFit
posteriorSamples(object, nsims=100, ...)

Arguments

object

An object inheriting class unmarkedRanef or unmarkedFit

nsims

Number of draws to make from the posterior predictive distribution

...

Other arguments

Value

unmarkedPostSamples object containing the draws from the posterior predictive distribution. The draws are in the @samples slot.

See Also

ranef, predict

Examples

# NOT RUN {
# 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))

# }