getBoundariesV4

provides a 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

getBoundariesV4 function

<dl><dt>coco.object</dt>
<dd><code>(S4)</code> a coco.object.</dd>
<dt>lower.bound</dt>
<dd><code>(numeric vector)</code> lower bound for covariate-driven parameters of the nonstationary covariance function.</dd>
<dt>upper.bound</dt>
<dd><code>(numeric vector)</code> upper bound for covariate-driven parameters of the nonstationary covariance function.</dd></dl>

Arguments

Author

Simple build of boundaries — getBoundariesV4

<dl>

<dt>coco.object</dt>
<dd><code>(S4)</code> a coco.object.</dd>


<dt>lower.bound</dt>
<dd><code>(numeric vector)</code> lower bound for covariate-driven parameters of the nonstationary covariance function.</dd>


<dt>upper.bound</dt>
<dd><code>(numeric vector)</code> upper bound for covariate-driven parameters of the nonstationary covariance function.</dd>

</dl>

getBoundariesV4: Simple build of boundaries

Description

Usage

Value

Arguments

Author