Seas-class

[,Seas,character,missing,missing-method

[&lt;-,Seas,character,missing-method

<code>"Seas"</code> contains the parameter values of the seasonal component and is an internal class stored in <code>"Mt"</code>.

classes

Fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore, its functions have been implemented for analysing the fitting qualities of those models.

Alberto Moreno

HBSTM

Hierarchical Bayesian Space-Time Models for Gaussian Space-Time
Data

Seas-class function

<dl class="dl-horizontal">
 <dt><code>w</code>:</dt><dd>The period of the seasonality</dd>
 <dt><code>fvect</code>:</dt><dd>An Sx1 <code>"matrix"</code> (S is the number of spatial points of the predicted grid) containing the temporal autoregressive parameter <code>fvect</code></dd>
 <dt><code>f0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>f0L</code></dd>
 <dt><code>gvect</code>:</dt><dd>A Sx1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>gvect</code></dd>
 <dt><code>g0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>g0L</code></dd>
 </dl>

Slots

<dl class="dl-horizontal">
 <dt>[</dt><dd><code>signature(x = "Seas", i = "character", j = "missing", drop = "missing")</code>: extract the components of the model.</dd>
 <dt>[&lt;-</dt><dd><code>signature(x = "Seas", i = "character", j = "missing")</code>: assign values to the components of the model.</dd>
	 </dl>

Methods

Class <code>"Seas"</code> — Seas-class

<dl class='dl-horizontal'>
 <dt><code>w</code>:</dt><dd>The period of the seasonality</dd>
 <dt><code>fvect</code>:</dt><dd>An Sx1 <code>"matrix"</code> (S is the number of spatial points of the predicted grid) containing the temporal autoregressive parameter <code>fvect</code></dd>
 <dt><code>f0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>f0L</code></dd>
 <dt><code>gvect</code>:</dt><dd>A Sx1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>gvect</code></dd>
 <dt><code>g0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>g0L</code></dd>
 </dl>

<dl class='dl-horizontal'>
 <dt>[</dt><dd><code>signature(x = "Seas", i = "character", j = "missing", drop = "missing")</code>: extract the components of the model.</dd>
 <dt>[&lt;-</dt><dd><code>signature(x = "Seas", i = "character", j = "missing")</code>: assign values to the components of the model.</dd>
	 </dl>

Seas-class: Class `"Seas"`

Description

Arguments

Slots

Methods

See Also