R (>= 3.5.0), sp, RandomFieldsUtils (>= 0.5.5)

R (>= 3.5.0), sp, RandomFieldsUtils (>= 1.1)
Methods for the inference on and the simulation of Gaussian fields are provided. Furthermore, methods for the simulation of extreme value random fields are provided. Main geostatistical parts are based among others on the books by Christian Lantuejoul <doi:10.1007/978-3-662-04808-5>.

R (>= 3.0), sp, RandomFieldsUtils (>= 0.5.1)

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>.

R (>= 3.5.0), sp, RandomFieldsUtils (>= 0.5.1)

Utilities for the Simulation and Analysis of Random Fields
Martin Schlather [aut, cre], Reinhard Furrer [ctb]
Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.

Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb]

Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb]

Utilities for the Simulation and Analysis of Random Fields and
Genomic Data
Martin Schlather [aut, cre], Alexander FreudenBerg [aut], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb]
Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. In particular the following algorithms are implemented: the pivoted Cholesky decomposition <doi:10.1016/j.apnum.2011.10.001> and on graphic cards, the Struve functions <doi:10.1090/S0025-5718-1993-1176713-8>, and a precise algorithm for evaluating the special covariance function.