RandomFields: Simulation and Analysis of Random Fields

Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields. Main geostatistical parts are based on the books by Christian Lantuejoul <doi:10.1007/978-3-662-04808-5>, Jean-Paul Chiles and Pierre Delfiner <doi:10.1002/9781118136188> and Noel A. Cressie <doi:10.1002/9781119115151>. For the extreme value random fields see Oesting, Schlather, Schillings (2019) <doi.org/10.1002/sta4.228> and Schlather (2002) <doi.org/10.1023/A:1020977924878>.

Getting started

Package details

AuthorMartin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Brian D. Ripley [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
MaintainerMartin Schlather <schlather@math.uni-mannheim.de>
LicenseGPL (>= 3)
Version3.3.8
URL http://ms.math.uni-mannheim.de/de/publications/software/randomfields
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RandomFields")

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RandomFields documentation built on Feb. 6, 2020, 5:13 p.m.