Mu-class

[,Mu,character,missing,missing-method

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

<code>"Mu"</code> contains the parameter values of the mean component 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

Mu-class function

<dl class="dl-horizontal">
 <dt><code>muvect</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>muvect</code></dd>
 <dt><code>mu0vect</code>:</dt><dd>An Sx1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>mu0vect</code></dd>
 <dt><code>mu0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>a0L</code></dd>
 <dt><code>sigma2Mu</code>:</dt><dd>Contains the fitted value of the variance <code>sigma2Mu</code>.</dd>
 <dt><code>spatialMu</code>:</dt><dd>An object of class <code>"SpatParam"</code> containing the fitted values of the spatial parameters of <code>muvect</code>.</dd>
 </dl>

Slots

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

Methods

Class <code>"Mu"</code> — Mu-class

<dl class='dl-horizontal'>
 <dt><code>muvect</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>muvect</code></dd>
 <dt><code>mu0vect</code>:</dt><dd>An Sx1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>mu0vect</code></dd>
 <dt><code>mu0L</code>:</dt><dd>A 3x1 <code>"matrix"</code> containing the temporal autoregressive parameter <code>a0L</code></dd>
 <dt><code>sigma2Mu</code>:</dt><dd>Contains the fitted value of the variance <code>sigma2Mu</code>.</dd>
 <dt><code>spatialMu</code>:</dt><dd>An object of class <code>"SpatParam"</code> containing the fitted values of the spatial parameters of <code>muvect</code>.</dd>
 </dl>

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

Mu-class: Class `"Mu"`

Description

Arguments

Slots

Methods

See Also