residuals.varest2

residuals

object

logical value. Default is <code>FALSE</code>. If <code>TRUE</code> the method returns the squared residuals.

squared

<code>residuals</code> S3 method for <code>varest2</code> object

S3 and S4 functions are implemented for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. These tools make use of Vector AutoRegressive models (VARs).
The weather generator model is then saved as an object and is calibrated by
daily instrumental "Gaussianized" time series through the 'vars' package
tools. Once obtained this model, it can it can be used for weather
generations and be adapted to work with several climatic monthly time
series.

Emanuele Cordano

RMAWGEN

Multi-Site Auto-Regressive Weather GENerator

residuals.varest2 function

<dl><dt>object</dt>
<dd>a <code>blockmatrix</code> object</dd>
<dt>squared</dt>
<dd>logical value. Default is <code>FALSE</code>. If <code>TRUE</code> the method returns the squared residuals.</dd>
<dt>...</dt>
<dd>passed arguments</dd></dl>

Arguments

Author

residuals S3 method for varest2 object — residuals.varest2

<dl>

<dt>object</dt>
<dd>a <code>blockmatrix</code> object</dd>


<dt>squared</dt>
<dd>logical value. Default is <code>FALSE</code>. If <code>TRUE</code> the method returns the squared residuals.</dd>


<dt>...</dt>
<dd>passed arguments</dd>

</dl>

residuals.varest2: `residuals` S3 method for `varest2` object

Description

Usage

Value

Arguments

Author