CoSMoS-package: CoSMoS: Complete Stochastic Modelling Solution
In strnda/CoSMoS: Complete Stochastic Modelling Solution
Description
Details
Funding
Author(s)
References
Description
CoSMoS is an R package that makes time series generation with desired properties easy. Just choose the characteristics of the time series you want to generate, and it will do the rest.
Details
The generated time series preserve any probability distribution and any linear autocorrelation structure. Users can generate as many and as long time series from processes such as precipitation, wind, temperature, relative humidity etc. It is based on a framework that unified, extended, and improved a modelling strategy that generates time series by transforming “parent” Gaussian time series having specific characteristics (Papalexiou, 2018).
Funding
The package was partly funded by the Global institute for Water Security (GIWS; https://www.usask.ca/water/) and the Global Water Futures (GWF; https://gwf.usask.ca/) program.
Author(s)
Coded and maintained by: Filip Strnad strnadf@fzp.czu.cz
Conceptual design by: Simon Michael Papalexiou sm.papalexiou@usask.ca
Tested and documented by: Yannis Markonis markonis@fzp.czu.cz
References
Papalexiou, S.M., 2018. Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency. Advances in Water Resources 115, 234-252. (link)
strnda/CoSMoS documentation built on April 14, 2020, 10:19 a.m.
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Description Details Funding Author(s) References
Description
CoSMoS is an R package that makes time series generation with desired properties easy. Just choose the characteristics of the time series you want to generate, and it will do the rest.
Details
The generated time series preserve any probability distribution and any linear autocorrelation structure. Users can generate as many and as long time series from processes such as precipitation, wind, temperature, relative humidity etc. It is based on a framework that unified, extended, and improved a modelling strategy that generates time series by transforming “parent” Gaussian time series having specific characteristics (Papalexiou, 2018).
Funding
The package was partly funded by the Global institute for Water Security (GIWS; https://www.usask.ca/water/) and the Global Water Futures (GWF; https://gwf.usask.ca/) program.
Author(s)
Coded and maintained by: Filip Strnad strnadf@fzp.czu.cz
Conceptual design by: Simon Michael Papalexiou sm.papalexiou@usask.ca
Tested and documented by: Yannis Markonis markonis@fzp.czu.cz
References
Papalexiou, S.M., 2018. Unified theory for stochastic modelling of hydroclimatic processes: Preserving marginal distributions, correlation structures, and intermittency. Advances in Water Resources 115, 234-252. (link)
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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