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WACS  

Multivariate Weather-State Approach Conditionally Skew-Normal Generator
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WACS", "1.1.0")



Attach the package and use:
library("WACS")
Maintained by
Ronan Trépos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-25
Latest Update: 2020-06-05
Description:
A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable 'Rain' and can accept as many other variables as desired.
How to cite:
Ronan Trépos (2016). WACS: Multivariate Weather-State Approach Conditionally Skew-Normal Generator. R package version 1.1.0, https://cran.r-project.org/web/packages/WACS. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2016-02-25 18:03)
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