c(person("Stephanie", "Wu", email = "swu18@uw.edu", role = "aut"), person("Michal", "Juraska", email = "mjuraska@fredhutch.org", role = c("aut", "cre")), person("Peter", "Gilbert", email = "pgilbert@scharp.org", role = "aut"), person("Yunda", "Huang", email = "yunda@scharp.org", role = "aut"))
Stephanie Wu [aut],
Michal Juraska [aut, cre],
Peter Gilbert [aut],
Yunda Huang [aut]

c(person("Filip", "Strnad",
role = c("aut", "cre"),
email = "strnadf@fzp.czu.cz"),
person("Simon Michael", "Papalexiou",
role = c("aut")),
person("Yannis", " Markonis",
role = "ctb"))
A single framework, unifying, extending, and improving a general-purpose modelling strategy, based on the assumption that any process can emerge by transforming a specific 'parent' Gaussian process Papalexiou (2018) <doi:10.1016/j.advwatres.2018.02.013>.
R (>= 3.4.0), ggplot2, pracma, methods, moments, reshape2
Filip Strnad [aut, cre],
Simon Michael Papalexiou [aut],
Yannis Markonis [ctb]

R (>= 3.6.0), ggplot2, pracma, nloptr, data.table, methods,
stats

c(person("Filip", "Strnad",
role = c("aut", "cre"),
email = "strnadf@fzp.czu.cz"),
person("Simon Michael", "Papalexiou",
role = c("aut")),
person("Yannis", " Markonis",
role = "aut"))
R (>= 3.5.0), ggplot2, nloptr, data.table, methods, stats
Filip Strnad [aut, cre],
Simon Michael Papalexiou [aut],
Yannis Markonis [aut]

c(person("Filip", "Strnad",
role = "aut"),
person("Simon Michael", "Papalexiou",
role = c("aut")),
person("Francesco", "Serinaldi",
role = "aut"),
person("Yannis", "Markonis",
role = "aut"),
person("Kevin", "Shook",
role = c("ctb", "cre"),
email = "kevin.shook@usask.ca")
)
utils, methods, stats, grDevices, nloptr, MBA, Matrix, mAr,
matrixcalc, mvtnorm, plotly, cowplot, directlabels, animation,
pracma
Filip Strnad [aut],
Simon Michael Papalexiou [aut],
Francesco Serinaldi [aut],
Yannis Markonis [aut],
Kevin Shook [ctb, cre]

c(person("Simon Michael", "Papalexiou",
role = "aut"),
person("Francesco", "Serinaldi",
role = "aut"),
person("Filip", "Strnad",
role = "aut"),
person("Yannis", "Markonis",
role = "aut"),
person("Kevin", "Shook",
role = c("ctb", "cre"),
email = "kevin.shook@usask.ca")
)
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).
utils, methods, stats, grDevices, nloptr, MBA, Matrix, mAr,
matrixcalc, mvtnorm, cowplot, directlabels, animation,
ggquiver, pracma, plot3D
Simon Michael Papalexiou [aut],
Francesco Serinaldi [aut],
Filip Strnad [aut],
Yannis Markonis [aut],
Kevin Shook [ctb, cre]