VAR_mod

Modified version of <code>VAR</code> function allowing to describe white-noise as VAR-(0) model (i. e. <code>varest</code> objects)

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

Emanuele Eccel

Eike Luedeling

VAR_mod function

<dl><dt>y, p, type, season, exogen, lag.max, ic</dt>
<dd>see <code>VAR</code> function</dd></dl>

Arguments

Modified version of VAR function allowing to describe white-noise as VAR-(0) model (i. e. varest objects) — VAR_mod

<dl>

<dt>y, p, type, season, exogen, lag.max, ic</dt>
<dd>see <code>VAR</code> function</dd>

</dl>

VAR_mod: Modified version of `VAR` function allowing to describe white-noise as VAR-(0) model (i. e. `varest` objects)

Description

Usage

Value

Arguments