Kern

<p>If result of computation will be a square matrix, the time computation can
be improved setting this parameter to TRUE, the default is FALSE.</p>

symmetric

<p>To compute a kriging, it is necessary the spatial covariance matrix. The spatial 
  covariance could computed between to sets of points X and Y with different dimension and the 
  result it is not necessarily a square matrix.</p>

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.

Pedro Guarderas

KRIG

Kov: Spatial covariance matrix.

Description

Usage

Arguments

Value

See Also