plot,ubmsGOF,ANY-method

gof,ubmsFitOccu-method

gof,ubmsFitAbun-method

Goodness-of-fit tests for <code>ubmsFit</code> models using posterior predictive
checks

Fit Bayesian hierarchical models of animal abundance and occurrence
via the 'rstan' package, the R interface to the 'Stan' C++ library.
Supported models include single-season occupancy, dynamic occupancy, and
N-mixture abundance models. Covariates on model parameters are specified
using a formula-based interface similar to package 'unmarked', while also
allowing for estimation of random slope and intercept terms. References:
Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>;
Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.

Ken Kellner

ubms

Bayesian Models for Data from Unmarked Animals using 'Stan'

gof function

<dl><dt>object</dt>
<dd>A fitted model of class <code>ubmsFit</code></dd>
<dt>draws</dt>
<dd>Number of draws from the posterior to use in the check</dd>
<dt>...</dt>
<dd>Currently ignored</dd>
<dt>quiet</dt>
<dd>If <code>TRUE</code>, suppress progress bar</dd></dl>

Arguments

<ul>
<li><code>gof(ubmsFitOccu)</code>: Applies the MacKenzie-Bailey chi-square goodness of fit test for
ocupancy models (MacKenzie and Bailey 2004).</li>
<li><code>gof(ubmsFitAbun)</code>: A goodness-of-fit test for N-mixture type models based on Pearson's chi-square.</li>
</ul>

Functions

Check model goodness-of-fit — gof

<dl>

<dt>object</dt>
<dd>A fitted model of class <code>ubmsFit</code></dd>


<dt>draws</dt>
<dd>Number of draws from the posterior to use in the check</dd>


<dt>...</dt>
<dd>Currently ignored</dd>


<dt>quiet</dt>
<dd>If <code>TRUE</code>, suppress progress bar</dd>

</dl>

gof: Check model goodness-of-fit

Description

Usage

Value

Arguments

Functions

References