materncov

Banerjee, Carlin and Gelfand (2015) Mat'ern covariance function

Fits, validates and compares a number of Bayesian models for
spatial and space time point referenced and areal unit data. Model fitting
is done using several packages: 'rstan', 'INLA', 'spBayes', 'spTimer',
'spTDyn', 'CARBayes' and 'CARBayesST'. Model comparison is performed using
the DIC and WAIC, and K-fold cross-validation where the user is free
to select their own subset of data rows for validation. Sahu (2022)
<doi:10.1201/9780429318443> describes the methods in detail.

Sujit K. Sahu

bmstdr

Bayesian Modeling of Spatio-Temporal Data with R

Duncan P. Lee

K. Shuvo Bakar

materncov function

<dl><dt>d</dt>
<dd>is the distance</dd>
<dt>phi</dt>
<dd>is the rate of decay</dd>
<dt>nu</dt>
<dd>is the smoothness parameter</dd></dl>

Arguments

Banerjee, Carlin and Gelfand (2015) Mat'ern covariance function — materncov

<dl>

<dt>d</dt>
<dd>is the distance</dd>


<dt>phi</dt>
<dd>is the rate of decay</dd>


<dt>nu</dt>
<dd>is the smoothness parameter</dd>

</dl>

materncov: Banerjee, Carlin and Gelfand (2015) Mat'ern covariance function

Description

Usage

Value

Arguments