Kanova

data.frame of kernels composed by four columns.<ol>
<li>Kernel name.</li>
<li>Inferior limit for integral.</li>
<li>Superior limit for integral.</li>
<li>Number of steps for discretization of integrals.</li>
</ol>

Kernels

A list containing the results of kernel integrals of the functions
<code><a rd-options="" href="/link/vector_integrate_kernel?package=KRIG&version=0.1.0" data-mini-rdoc="KRIG::vector_integrate_kernel">vector_integrate_kernel</a></code>.

Integral

matrix containing in each row the coordinate where the one coordinate integrals will 
be evaluated.

Under an approximation to the sensitivity analysis based in variance computation
the different indexes of combinatorial sensitivity values can be computed employing the
values of kernel integrals.

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

Spatial Statistic with Kriging

Daniel Lagos

Andr<c3><a9>s Lopez

Kanova function

A list containing the results of kernel integrals of the functions
<code><a rd-options='' href='vector_integrate_kernel'>vector_integrate_kernel</a></code>.

Kanova: KANOVA, kernel anova under RKHS approximations.

Description

Usage

Arguments

Value

References

See Also