ar2cov

Computes the auto-covariance for given coefficients.

Prepare objects to implement models over spatial and
spacetime domains with the 'INLA' package (<https://www.r-inla.org>).
These objects contain data to for the 'cgeneric' interface in
'INLA', enabling fast parallel computations.
We implemented the spatial barrier model, see Bakka et. al. (2019)
<doi:10.1016/j.spasta.2019.01.002>, and some of the spatio-temporal
models proposed in Lindgren et. al. (2023)
<https://www.idescat.cat/sort/sort481/48.1.1.Lindgren-etal.pdf>.
Details are provided in the available vignettes and from the URL bellow.

Elias Teixeira Krainski

INLAspacetime

Spatial and Spatio-Temporal Models using 'INLA'

Finn Lindgren

Haavard Rue

ar2cov function

<dl><dt>a1</dt>
<dd>the first auto-regression coefficient.</dd>
<dt>a2</dt>
<dd>the second auto-regression coefficient.</dd>
<dt>k</dt>
<dd>maximum lag for evaluating the auto-correlation.</dd>
<dt>useC</dt>
<dd>just a test (to use C code).</dd></dl>

Arguments

Illustrative code to compute the covariance of
the second order autoregression (AR2) model. — ar2cov

<dl>

<dt>a1</dt>
<dd>the first auto-regression coefficient.</dd>


<dt>a2</dt>
<dd>the second auto-regression coefficient.</dd>


<dt>k</dt>
<dd>maximum lag for evaluating the auto-correlation.</dd>


<dt>useC</dt>
<dd>just a test (to use C code).</dd>

</dl>

ar2cov: Illustrative code to compute the covariance of the second order autoregression (AR2) model.

Description

Usage

Value

Arguments

Details

See Also

Examples