tidy

tidy.glmmfields

Implements Bayesian spatial and spatiotemporal
models that optionally allow for extreme spatial deviations through
time. 'glmmfields' uses a predictive process approach with random
fields implemented through a multivariate-t distribution instead of
the usual multivariate normal. Sampling is conducted with 'Stan'.
References: Anderson and Ward (2019) <doi:10.1002/ecy.2403>.

Sean Anderson

glmmfields

Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling

Trustees of Columbia University

tidy function

<dl><dt>x</dt>
<dd>Output from <code>glmmfields()</code></dd>
<dt>...</dt>
<dd>Other arguments</dd></dl>

Arguments

Tidy model output — tidy

<dl>

<dt>x</dt>
<dd>Output from <code>glmmfields()</code></dd>


<dt>...</dt>
<dd>Other arguments</dd>

</dl>

tidy: Tidy model output

Description

Usage

Arguments