Description Author(s) References See Also Examples
Implements different methods for spatial statistics, in particular focused with 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.
The linear algebra operations are supported by RcppArmadillo.
Maintainer: Pedro Guarderas pedro.felipe.guarderas@gmail.com
Other contributors:
Daniel Lagos [contributor]
Andr<c3><a9>s Lopez [contributor]
MatheronTH1970KRIG
\insertRefChiles2011GeosKRIG
\insertRefKanova:2013KRIG
\insertRefRasmussen2005GPMLKRIG
\insertRefSteinInterSpatialKRIG
\insertRefClark1979GeoKRIG
\insertRefAronszajn:ThRKKRIG
Useful links:
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