Other packages > Find by keyword >

RMAWGEN  

Multi-Site Auto-Regressive Weather GENerator
View on CRAN: Click here


Download and install RMAWGEN package within the R console
Install from CRAN:
install.packages("RMAWGEN")

Install from Github:
library("remotes")
install_github("cran/RMAWGEN")

Install by package version:
library("remotes")
install_version("RMAWGEN", "1.3.9.3")



Attach the package and use:
library("RMAWGEN")
Maintained by
Emanuele Cordano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-08-12
Latest Update: 2025-04-12
Description:
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.
How to cite:
Emanuele Cordano (2011). RMAWGEN: Multi-Site Auto-Regressive Weather GENerator. R package version 1.3.9.3, https://cran.r-project.org/web/packages/RMAWGEN. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:19), 1.0 (2011-08-12 16:30), 1.1 (2011-09-28 09:01), 1.2.1 (2012-01-14 10:00), 1.2.2 (2012-02-21 13:22), 1.2.4 (2012-04-05 16:06), 1.2.5.1 (2012-06-13 14:14), 1.2.5.3 (2012-08-14 14:22), 1.2.5.4 (2013-04-24 10:52), 1.2.5.5 (2013-05-23 15:53), 1.2.5 (2012-05-11 07:13), 1.2.6.1 (2014-04-29 11:17), 1.2.6 (2014-01-18 00:59), 1.2 (2011-12-22 14:37), 1.3.0 (2014-12-20 11:49), 1.3.3 (2017-02-11 04:33), 1.3.6 (2019-11-15 18:20), 1.3.7 (2019-12-12 08:00)
Other packages that cited RMAWGEN R package
View RMAWGEN citation profile
Other R packages that RMAWGEN depends, imports, suggests or enhances
Complete documentation for RMAWGEN
Functions, R codes and Examples using the RMAWGEN R package
Some associated functions: ComprehensivePrecipitationGenerator . ComprehensiveTemperatureGenerator . ElevationOf . GPCA-class . GPCA . GPCA_iteration . GPCAiteration-class . GPCAvarest2-class . NewVAReventRealization . PrecipitationEndDay . PrecipitationStartDay . RMAWGEN-package . TemperatureEndDay . TemperatureStartDay . VAR_mod . WhereIs . acvWGEN . adddate . addsuffixes . arch_test . continuity_ratio . countNAs . covariance . extractTnFromAnomalies . extractTxFromAnomalies . extractdays . extractmonths . extractyears . findDate . forecastEV . forecastResidual . generateTemperatureTimeseries . getDailyMean . getMonthlyMean . getVARmodel . inv_GPCA . inv_GPCA_iteration . is.monthly.climate . months_f . newVARmultieventRealization . normality_test . normalizeGaussian . normalizeGaussian_prec . normalizeGaussian_severalstations . normalizeGaussian_severalstations_prec . plotDailyClimate . plot_sample . print . qqplot.lagged . qqplotTnTxWGEN . qqplotTnTxWGEN_seasonal . qqplotWGEN . qqplot_RMAWGEN_Tx . qqplotprecWGEN . qqplotprecWGEN_seasonal . removeNAs . rescaling_monthly . residuals . serial_test . setComprehensiveTemperatureGeneratorParameters . splineInterpolateMonthlytoDaily . splineInterpolateMonthlytoDailyforSeveralYears . trentino . varest-class . varest2-class . 
Some associated R codes: ComprehensivePrecipitationGenerator.R . ComprehensiveTemperatureGenerator.R . ElevationOf.R . GPCA.R . GPCA_iteration.R . NewVAReventRealization.R . PrecipitationEndDay.R . PrecipitationStartDay.R . RMAWGEN-package.R . TemperatureEndDay.R . TemperatureStartDay.R . VAR_mod.R . WhereIs.R . acvWGEN.R . adddate.R . addsuffixes.R . arch_test.varest2.R . continuity_ratio.R . countNAs.R . covariance.R . extractTnFromAnomalies.R . extractTxFromAnomalies.R . extractdays.R . extractmonths.R . extractyears.R . findDate.R . forecastEV.R . forecastResidual.R . generateTemperatureTimeseries.R . getDailyMean.R . getMonthlyMean.R . getVARmodel.R . inv_GPCA.R . inv_GPCA_iteration.R . is.monthly.climate.R . mmonths.R . newVARmultieventRealization.R . normality_test.varest2.R . normalizeGaussian.R . normalizeGaussian_prec.R . normalizeGaussian_sevaralstations.R . normalizeGaussian_sevaralstations_prec.R . plot.sample.R . plotDailyClimate.R . print.GPCA.R . print.GPCAiteration.R . qqplot.lagged.R . qqplotTnTxWGEN.R . qqplotTnTxWGEN_seasonal.R . qqplotWGEN.R . qqplot_RMAWGENts.R . qqplotprecWGEN.R . qqplotprecWGEN_seasonal.R . removeNAs.R . rescaling_monthly.R . residuals.varest2.R . serial_test.varest2.R . setWholeTemperatureGeneratorParameters.R . splineInterpolateMonthlytoDaily.R . splineInterpolateMonthlytoDailyforSeveralYears.R . zc0_GPCA.R . zc0_GPCAiteration.R . zc0_varest.R . zc1_varest2.R . zc2_GPCAvarest2.R .  Full RMAWGEN package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA