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