Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fieldsâ 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CoSMoS to link to this page.
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