summary

summary,coco-method

method summary for objects of class 'coco'.

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

summary function

<dl><dt>object</dt>
<dd>(<code>S4</code>) An object of class 'coco'.</dd>
<dt>inv.hess</dt>
<dd>(<code>numeric matrix</code> or <code>NULL</code>) inverse of the approximated hessian matrix (getHessian)</dd></dl>

Arguments

Author

Summary Method for Coco Class — summary

<dl>

<dt>object</dt>
<dd>(<code>S4</code>) An object of class 'coco'.</dd>


<dt>inv.hess</dt>
<dd>(<code>numeric matrix</code> or <code>NULL</code>) inverse of the approximated hessian matrix (getHessian)</dd>

</dl>

summary: Summary Method for Coco Class

Description

Usage

Value

Arguments

Author