coco-class

Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions.
Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics.
An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.

Federico Blasi

cocons

Covariate-Based Covariance Functions for Nonstationary Spatial
Modeling

Reinhard Furrer

coco-class function

<dl>
<dt><code>type</code></dt>
<dd>(<code>character</code>) One of two available types "dense" or "sparse". See description.</dd></dl>
<dt><code>data</code></dt>
<dd>(<code>data.frame</code>) A data.frame with covariates information, where colnames(data) matches model.list specification</dd>
<dt><code>locs</code></dt>
<dd>(<code>numeric matrix</code>) a matrix with locs matching data</dd>
<dt><code>z</code></dt>
<dd>(<code>numeric matrix</code>) A matrix of dimension n x p with response values</dd>
<dt><code>model.list</code></dt>
<dd>(<code>list</code>) A list specifying a model for each aspect of the spatial structure.</dd>
<dt><code>info</code></dt>
<dd>(<code>list</code>) a list with information about the coco object</dd>
<dt><code>output</code></dt>
<dd>(<code>list</code>) if building an already fitted <code>coco</code> object (not the standard approach), then requires an output from Optimparallel output, including as well boundaries, etc.</dd>

Slots

Author

An S4 class to store information — coco-class

<dl>
<dt><code>type</code></dt>
<dd>(<code>character</code>) One of two available types "dense" or "sparse". See description.</dd>


<dt><code>data</code></dt>
<dd>(<code>data.frame</code>) A data.frame with covariates information, where colnames(data) matches model.list specification</dd>


<dt><code>locs</code></dt>
<dd>(<code>numeric matrix</code>) a matrix with locs matching data</dd>


<dt><code>z</code></dt>
<dd>(<code>numeric matrix</code>) A matrix of dimension n x p with response values</dd>


<dt><code>model.list</code></dt>
<dd>(<code>list</code>) A list specifying a model for each aspect of the spatial structure.</dd>


<dt><code>info</code></dt>
<dd>(<code>list</code>) a list with information about the coco object</dd>


<dt><code>output</code></dt>
<dd>(<code>list</code>) if building an already fitted <code>coco</code> object (not the standard approach), then requires an output from Optimparallel output, including as well boundaries, etc.</dd>


</dl>

coco-class: An S4 class to store information

Description

Arguments

Slots

Author