ccov

Generic functions for calculating joint covariance/correlation matrix for mcgf
objects

Simulating and estimating (regime-switching) Markov chain Gaussian
fields with covariance functions of the Gneiting class (Gneiting 2002)
<doi:10.1198/016214502760047113>. It supports parameter estimation by
weighted least squares and maximum likelihood methods, and produces Kriging
forecasts and intervals for existing and new locations.

Tianxia Jia

mcgf

Markov Chain Gaussian Fields Simulation and Parameter Estimation

ccov function

<dl><dt>x</dt>
<dd>An R object.</dd>
<dt>...</dt>
<dd>Additional parameters or attributes.</dd></dl>

Arguments

Generic functions for calculating joint covariance/correlation matrix for mcgf
objects — ccov

<dl>

<dt>x</dt>
<dd>An R object.</dd>


<dt>...</dt>
<dd>Additional parameters or attributes.</dd>

</dl>

ccov: Generic functions for calculating joint covariance/correlation matrix for mcgf objects

Description

Usage

Value

Arguments

Details