posteriorSamples: Draw samples from the posterior predictive distribution

In unmarked: Models for Data from Unmarked Animals

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

Author(s)

Ken Kellner [e-mail]

See Also

ranef, predict

Examples

# 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))

unmarked documentation built on July 9, 2023, 5:44 p.m.