matern.grad.phi

Computes the first derivative of the Matern correlation function with respect to \(\phi\).

Geostatistical analysis of continuous and count data.
Implements stationary Gaussian processes with Matérn correlation for spatial prediction,
as described in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).

Emanuele Giorgi

RiskMap

Geostatistical Modeling of Spatially Referenced Data

Claudio Fronterre

matern.grad.phi function

<dl><dt>U</dt>
<dd>A vector of distances between pairs of data locations.</dd>
<dt>phi</dt>
<dd>The scale parameter \(\phi\).</dd>
<dt>kappa</dt>
<dd>The smoothness parameter \(\kappa\).</dd></dl>

Arguments

Emanuele Giorgi <a href="/link/e.giorgi%40lancaster.ac.uk?package=RiskMap&version=1.0.0" data-mini-rdoc="RiskMap::e.giorgi@lancaster.ac.uk">e.giorgi@lancaster.ac.uk</a>
Claudio Fronterre <a href="/link/c.fronterr%40lancaster.ac.uk?package=RiskMap&version=1.0.0" data-mini-rdoc="RiskMap::c.fronterr@lancaster.ac.uk">c.fronterr@lancaster.ac.uk</a>

Author

First Derivative with Respect to \(\phi\) — matern.grad.phi

<dl>

<dt>U</dt>
<dd>A vector of distances between pairs of data locations.</dd>


<dt>phi</dt>
<dd>The scale parameter \(\phi\).</dd>


<dt>kappa</dt>
<dd>The smoothness parameter \(\kappa\).</dd>

</dl>

Emanuele Giorgi <a href='mailto:e.giorgi@lancaster.ac.uk'>e.giorgi@lancaster.ac.uk</a>
Claudio Fronterre <a href='mailto:c.fronterr@lancaster.ac.uk'>c.fronterr@lancaster.ac.uk</a>

matern.grad.phi: First Derivative with Respect to \(\phi\)

Description

Usage

Value

Arguments

Author