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MetGen  

Stochastic Weather Generator
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MetGen", "0.5")



Attach the package and use:
library("MetGen")
Maintained by
Nesrine Farhani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update:
Description:
An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See .
How to cite:
Nesrine Farhani (2020). MetGen: Stochastic Weather Generator. R package version 0.5, https://cran.r-project.org/web/packages/MetGen. Accessed 29 Oct. 2026.
Previous versions and publish date:
0.5 (2020-06-04 11:40), (2026-07-09 08:10)
Other packages that cited MetGen R package
View MetGen citation profile
Other R packages that MetGen depends, imports, suggests or enhances
Complete documentation for MetGen
Functions, R codes and Examples using the MetGen R package
Some associated functions: MetGen-package . climatic_data . covariates . cycle.effect . fit.glm . fit.lasso . formating.var . imputation.lagged . lagged.effect . movave.effect . projection.lagged . rm.buffer . sim.glm . spatave.effect . 
Some associated R codes: MetGen_functions.R .  Full MetGen package functions and examples
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