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
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:

Reference manual:	CoSMoS.pdf
Vignettes:	CoSMoS R | Complete Stochastic Modelling Solution

Downloads:

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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