georob: Robust Geostatistical Analysis of Spatial Data
Provides functions for efficiently fitting linear models with
spatially correlated errors by robust and Gaussian (Restricted)
Maximum Likelihood and for computing robust and customary point
and block external-drift Kriging predictions, along with utility
functions for variogram modelling in ad hoc geostatistical analyses,
model building, model evaluation by cross-validation, (conditional)
simulation of Gaussian processes, unbiased back-transformation of
Kriging predictions of log-transformed data.
| Version: |
0.3-14 |
| Depends: |
R (≥ 2.14.0), graphics, parallel, snowfall, sp (≥ 0.9-60), stats, utils |
| Imports: |
abind, constrainedKriging (≥ 0.2-1), fields, lmtest, methods, nlme, nleqslv, quantreg, RandomFields (≥ 3.3.6), robustbase (≥
0.90-2) |
| Suggests: |
gstat, multcomp, lattice |
| Published: |
2021-06-04 |
| Author: |
Andreas Papritz [cre, aut],
Cornelia Schwierz [ctb] |
| Maintainer: |
Andreas Papritz <andreas.papritz at env.ethz.ch> |
| License: |
GPL-2 | GPL-3 | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: GPL (≥ 2) | LGPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
NEWS ChangeLog |
| In views: |
Robust, Spatial |
| CRAN checks: |
georob results |
Documentation:
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