corSAR1-class

corSAR1

corAR1-class

corAR1

corSAR1AR1-class

corSAR1AR1

Various correlation structures. They can be used inside the rfh
function to supply an alterantive variance structure to be fitted. For
examples see the documentation of rfh.

Methods to fit robust alternatives to commonly used models used in
Small Area Estimation. The methods here used are based on best linear
unbiased predictions and linear mixed models. At this time available models
include area level models incorporating spatial and temporal correlation in
the random effects.

Sebastian Warnholz

saeRobust

Robust Small Area Estimation

corSAR1-class function

<dl><dt>W</dt>
<dd>the row-standardised proximity matrix</dd>
<dt>nTime</dt>
<dd>(numeric) number of time periods</dd></dl>

Arguments

<dl>
<dt><code>W</code></dt>
<dd>the row-standardised proximity matrix</dd></dl>
<dt><code>nTime</code></dt>
<dd>(numeric) number of time periods</dd>

Slots

Correlation Structure — corSAR1-class

<dl>

<dt>W</dt>
<dd>the row-standardised proximity matrix</dd>


<dt>nTime</dt>
<dd>(numeric) number of time periods</dd>

</dl>

<dl>
<dt><code>W</code></dt>
<dd>the row-standardised proximity matrix</dd>


<dt><code>nTime</code></dt>
<dd>(numeric) number of time periods</dd>


</dl>

corSAR1-class: Correlation Structure

Description

Usage

Arguments

Slots

Details