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Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
Version: | 2.1.0 |
Depends: | R (≥ 3.5.0), ggplot2, data.table |
Imports: | utils, methods, stats, grDevices, nloptr, MBA, Matrix, mAr, matrixcalc, mvtnorm, cowplot, directlabels, animation, ggquiver, pracma, plot3D |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2021-05-29 |
DOI: | 10.32614/CRAN.package.CoSMoS |
Author: | Simon Michael Papalexiou [aut], Francesco Serinaldi [aut], Filip Strnad [aut], Yannis Markonis [aut], Kevin Shook [ctb, cre] |
Maintainer: | Kevin Shook <kevin.shook at usask.ca> |
License: | GPL-3 |
URL: | https://github.com/TycheLab/CoSMoS |
NeedsCompilation: | no |
Citation: | CoSMoS citation info |
Materials: | README NEWS |
In views: | Hydrology |
CRAN checks: | CoSMoS results |
Reference manual: | CoSMoS.pdf |
Vignettes: |
CoSMoS R | Complete Stochastic Modelling Solution |
Package source: | CoSMoS_2.1.0.tar.gz |
Windows binaries: | r-devel: CoSMoS_2.1.0.zip, r-release: CoSMoS_2.1.0.zip, r-oldrel: CoSMoS_2.1.0.zip |
macOS binaries: | r-release (arm64): CoSMoS_2.1.0.tgz, r-oldrel (arm64): CoSMoS_2.1.0.tgz, r-release (x86_64): CoSMoS_2.1.0.tgz, r-oldrel (x86_64): CoSMoS_2.1.0.tgz |
Old sources: | CoSMoS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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