Depends: R (>= 3.5.0), sp, RandomFieldsUtils (>= 0.5.1)
Packaged: 2020-02-03 22:08:36 UTC; schlather

Packaged: 2019-02-13 00:28:30 UTC; schlather

Title: Utilities for the Simulation and Analysis of Random Fields
Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb]
Description: 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.
Packaged: 2015-04-09 19:17:44 UTC; schlather

Packaged: 2015-07-09 21:48:25 UTC; schlather

Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb]
Packaged: 2015-11-04 09:10:55 UTC; schlather

Packaged: 2015-12-15 09:45:49 UTC; schlather

Packaged: 2015-04-19 05:02:07 UTC; schlather

Packaged: 2015-06-02 23:28:27 UTC; schlather

Packaged: 2016-04-22 21:25:32 UTC; schlather

Packaged: 2016-06-22 00:29:36 UTC; schlather

Packaged: 2016-12-25 17:26:23 UTC; schlather

Packaged: 2016-09-09 20:40:02 UTC; schlather

Packaged: 2017-03-20 18:21:42 UTC; schlather

Packaged: 2017-04-05 13:27:39 UTC; schlather

Packaged: 2017-04-13 16:21:19 UTC; schlather

Packaged: 2017-04-14 06:09:19 UTC; schlather

Packaged: 2016-09-11 18:28:11 UTC; schlather

Packaged: 2016-12-23 05:48:20 UTC; schlather

Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb]
Packaged: 2019-03-02 22:43:06 UTC; schlather

Packaged: 2021-09-20 16:37:36 UTC; schlather

Packaged: 2021-09-30 20:47:42 UTC; schlather

Packaged: 2021-10-21 12:04:55 UTC; schlather

Packaged: 2019-02-09 20:25:26 UTC; schlather

Title: Utilities for the Simulation and Analysis of Random Fields and
Author: Martin Schlather [aut, cre], Alexander FreudenBerg [aut], Reinhard Furrer [ctb], Martin Kroll [ctb], Brian D. Ripley [ctb]
Description: 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.
Packaged: 2021-11-20 15:23:35 UTC; schlather