Xt-class

[,Xt,character,missing,missing-method

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

<code>"Xt"</code> contains the parameter values of the autoregressive part and is an internal class stored in <code>"Parameters"</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

Xt-class function

<dl class="dl-horizontal">
 <dt><code>Xt</code>:</dt><dd>A <code>"matrix"</code> of dimension SxT (S = predicted spatial points and T = temporal points) containing the fitted values of the parameter <code>Xt</code>.</dd>
 <dt><code>X0</code>:</dt><dd>An Sx1 <code>"matrix"</code> containing the auxiliary parameter <code>X0</code>.</dd>
 <dt><code>sigma2N</code>:</dt><dd>Contains the fitted value of the variance <code>sigmaN</code>.</dd>
 <dt><code>AR</code>:</dt><dd>A <code>"list"</code> of objects of class <code>Autoregressive</code>, one for each temporal lag of the model.</dd>
 <dt><code>templags</code>:</dt><dd>A <code>"vector"</code> containing the temporal lags of the model.</dd>
 </dl>

Slots

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

Methods

Class <code>"Xt"</code> — Xt-class

<dl class='dl-horizontal'>
 <dt><code>Xt</code>:</dt><dd>A <code>"matrix"</code> of dimension SxT (S = predicted spatial points and T = temporal points) containing the fitted values of the parameter <code>Xt</code>.</dd>
 <dt><code>X0</code>:</dt><dd>An Sx1 <code>"matrix"</code> containing the auxiliary parameter <code>X0</code>.</dd>
 <dt><code>sigma2N</code>:</dt><dd>Contains the fitted value of the variance <code>sigmaN</code>.</dd>
 <dt><code>AR</code>:</dt><dd>A <code>"list"</code> of objects of class <code>Autoregressive</code>, one for each temporal lag of the model.</dd>
 <dt><code>templags</code>:</dt><dd>A <code>"vector"</code> containing the temporal lags of the model.</dd>
 </dl>

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

Xt-class: Class `"Xt"`

Description

Arguments

Slots

Methods

See Also