Package: georob
Version: 0.3-19
Date: 2024-03-09
Type: Package
Title: Robust Geostatistical Analysis of Spatial Data
Authors@R: c(person("Andreas", "Papritz", role = c("aut", "cre"), email =  "papritz@retired.ethz.ch" ))
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).
Depends: R(>= 2.14), sp(>= 0.9-60)
Imports: abind, constrainedKriging(>= 0.2-7), fields, graphics, lmtest,
        methods, nlme, nleqslv, parallel, quantreg, robustbase(>=
        0.90-2), snowfall, stats, utils
Suggests: gstat, multcomp, lattice
License: GPL (>= 2) | LGPL (>= 2)
NeedsCompilation: no
Packaged: 2024-03-09 17:18:36 UTC; papritz
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>
Repository: CRAN
Date/Publication: 2024-03-10 09:30:02 UTC
Built: R 4.4.0; ; 2024-04-08 02:30:45 UTC; unix
