CRAN/E | CoSMoS

CoSMoS

Complete Stochastic Modelling Solution

Installation

About

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).

Citation CoSMoS citation info
github.com/TycheLab/CoSMoS

Key Metrics

Version 2.1.0
R ≥ 3.5.0
Published 2021-05-29 1057 days ago
Needs compilation? no
License GPL-3
CRAN checks CoSMoS results

Downloads

Yesterday 15 0%
Last 7 days 62 +27%
Last 30 days 277 -12%
Last 90 days 1.131 +31%
Last 365 days 3.752 -12%

Maintainer

Maintainer

Kevin Shook

kevin.shook@usask.ca

Authors

Simon Michael Papalexiou

aut

Francesco Serinaldi

aut

Filip Strnad

aut

Yannis Markonis

aut

Kevin Shook

ctb / cre

Material

README
NEWS
Reference manual
Package source

In Views

Hydrology

Vignettes

CoSMoS R | Complete Stochastic Modelling Solution

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CoSMoS archive

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