logLikMultiNorm

Log likelihood function for multivariate normal with spatial dependency.

A Kriging method for functional datasets with spatial dependency.
This functional Kriging method avoids the need to estimate the
trace-variogram, and the curve is estimated by minimizing a quadratic
form. The curves in the functional dataset are smoothed using Fourier
series. The functional Kriging of this package is a modification of the
method proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>.

Gilberto Sassi

geoFKF

Kriging Method for Spatial Functional Data

logLikMultiNorm function

<dl><dt>mCoef</dt>
<dd>coefficient matrix. Each column is the coefficient from a curve;</dd>
<dt>mDist</dt>
<dd>distance matris;</dd>
<dt>s2</dt>
<dd>variance from the covariance model;</dd>
<dt>phi</dt>
<dd>variance from the covariance model;</dd>
<dt>rho</dt>
<dd>variance from the covariance model;</dd></dl>

Arguments

Log likelihood function for multivariate normal with spatial dependency. — logLikMultiNorm

<dl>

<dt>mCoef</dt>
<dd>coefficient matrix. Each column is the coefficient from a curve;</dd>


<dt>mDist</dt>
<dd>distance matris;</dd>


<dt>s2</dt>
<dd>variance from the covariance model;</dd>


<dt>phi</dt>
<dd>variance from the covariance model;</dd>


<dt>rho</dt>
<dd>variance from the covariance model;</dd>

</dl>

logLikMultiNorm: Log likelihood function for multivariate normal with spatial dependency.

Description

Arguments