Implements different methods for spatial statistics, in particular focused in Kriging based models. We count with different implemented models, simple, ordinary and universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate sensitivity analysis under an approximation designed over reproducing kernel Hilbert spaces and computation of Sobol indexes under this framework.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3) |
| Imports: | Rcpp, Rdpack |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | data.table, colorRamps, plotly, knitr, rmarkdown, testthat |
| Published: | 2018-01-30 |
| Author: | Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb] |
| Maintainer: | Pedro Guarderas <pedro.felipe.guarderas at gmail.com> |
| BugReports: | https://github.com/pedroguarderas/KRIG/issues |
| License: | LGPL-3 |
| URL: | https://github.com/pedroguarderas/KRIG |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | KRIG results |
| Reference manual: | KRIG.pdf |
| Vignettes: |
Copper mining Ordinary Kriging Simple Kriging Universal Kriging |
| Package source: | KRIG_0.1.0.tar.gz |
| Windows binaries: | r-devel: KRIG_0.1.0.zip, r-release: KRIG_0.1.0.zip, r-oldrel: KRIG_0.1.0.zip |
| OS X binaries: | r-release: KRIG_0.1.0.tgz, r-oldrel: KRIG_0.1.0.tgz |
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