model.frame.spmodel

model.frame.splm

model.frame.spautor

model.frame.spglm

model.frame.spgautor

Extract the model frame from a fitted model object.

Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.

Michael Dumelle

spmodel

Spatial Statistical Modeling and Prediction

Matt Higham

Ryan A. Hill

Michael Mahon

Jay M. Ver Hoef

model.frame.spmodel function

<dl><dt>formula</dt>
<dd>A fitted model object from <code>splm()</code>, <code>spautor()</code>, <code>spglm()</code>, or <code>spgautor()</code>.</dd>
<dt>...</dt>
<dd>Other arguments. Not used (needed for generic consistency).</dd></dl>

Arguments

Extract the model frame from a fitted model object — model.frame.spmodel

<dl>

<dt>formula</dt>
<dd>A fitted model object from <code>splm()</code>, <code>spautor()</code>, <code>spglm()</code>, or <code>spgautor()</code>.</dd>


<dt>...</dt>
<dd>Other arguments. Not used (needed for generic consistency).</dd>

</dl>

Extract the model frame from a fitted model object

model.frame.spmodel: Extract the model frame from a fitted model object

Description

Usage

Value

Arguments

See Also

Examples