getBoundaries

provides a generic set of upper and lower bounds for the L-BFGS-B routine

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

getBoundaries function

<dl><dt>x</dt>
<dd><code>(S4) or (list)</code> a coco.object or a par.pos list (as output from getDesignMatrix)</dd>
<dt>lower.value</dt>
<dd><code>(numeric vector)</code> if provided, provides a vector filled with values lower.value.</dd>
<dt>upper.value</dt>
<dd><code>(numeric vector)</code> if provided, provides a vector filled with values upper.value.</dd></dl>

Arguments

Author

Simple build of boundaries — getBoundaries

<dl>

<dt>x</dt>
<dd><code>(S4) or (list)</code> a coco.object or a par.pos list (as output from getDesignMatrix)</dd>


<dt>lower.value</dt>
<dd><code>(numeric vector)</code> if provided, provides a vector filled with values lower.value.</dd>


<dt>upper.value</dt>
<dd><code>(numeric vector)</code> if provided, provides a vector filled with values upper.value.</dd>

</dl>

getBoundaries: Simple build of boundaries

Description

Usage

Value

Arguments

Author