R: Draw samples from the posterior predictive distribution

posteriorSamples {unmarked} | R Documentation

## 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 contact@kenkellner.com

### 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))

[Package unmarked version 1.0.0 Index]