The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CoSMoS to link to this page.

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.
Health stats visible at Monitor.