Description: This package contains S3 and S4 functions for spatial
multi-site stochastic generation of daily timeseries of
temperature and precipitation. The implemented tools make use
of Vectorial AutoRegressive models (VARs). The VAR is
calibrated by daily instrumental "Gaussinized" time series and
then works with monthly timeseries as input.
Bugs/comments/questions/collaboration of any kind are warmly
Depends: R (>= 2.10), chron, date, vars, MASS, strucchange, urca,
methods,lmtest (>= 0.9-26), sandwich (>= 2.2-4)
Imports: chron, date, vars, MASS, strucchange, urca, methods,lmtest (>=
Collate: 'acvWGEN.R' 'adddate.R' 'addsuffixes.R' 'arch_test.varest2.R'

Title: RMAWGEN (R Multi-site Auto-regressive Weather GENerator): a

calibrated by daily instrumental "Gaussianized" time series and

Title: RMAWGEN (R Multi-site Auto-regressive Weather GENerator), a
multi-site stochastic generation of daily time series of
of Vector AutoRegressive models (VARs). The VAR is calibrated
by daily instrumental "Gaussianized" time series and then works

package to generate daily time series of precipitation and

Description: This package contains S3 and S4 functions for spatial multi-site
stochastic generation of daily time series of temperature and
precipitation. The implemented tools make use of Vector AutoRegressive
models (VARs). The VAR is calibrated by daily instrumental "Gaussianized"
time series and then works with monthly time series as input. Example
script files about its usage are available on "RMAWGENCodeCorner" GitHub
project (see link below). Bugs/comments/questions/collaboration of any kind

precipitation. The implemented tools make use of Vector
instrumental "Gaussianized" time series and then works with monthly
time series as input. Bugs/comments/questions/collaboration of any

instrumental "Gaussinized" time series and then works with monthly
timeseries as input. Bugs/comments/questions/collaboration of any

Title: Multi-site Auto-regressive Weather GENerator
Description: S3 and S4 functions are implemented for spatial multi-site
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