CoSMoS: Complete Stochastic Modelling Solution

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
Author: Simon Michael Papalexiou [aut], Francesco Serinaldi [aut], Filip Strnad [aut], Yannis Markonis [aut], Kevin Shook [ctb, cre]
Maintainer: Kevin Shook <kevin.shook at>
License: GPL-3
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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CoSMoS_2.1.0.tgz, r-release (x86_64): CoSMoS_2.1.0.tgz, r-oldrel: CoSMoS_2.1.0.tgz
Old sources: CoSMoS archive


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