residuals.SVC_mle

<code><a rd-options="" href="/link/SVC_mle?package=varycoef&version=0.2.9" data-mini-rdoc="varycoef::SVC_mle">SVC_mle</a></code> object

object

Method to extract the residuals from an <code><a rd-options="" href="/link/SVC_mle?package=varycoef&version=0.2.9" data-mini-rdoc="varycoef::SVC_mle">SVC_mle</a></code> object. This is only possible if <code>save.fitted</code> was set to <code>TRUE</code> in the control of the function call

Gives maximum likelihood estimation (MLE) method to estimate and predict spatially varying coefficient (SVC) Models. It supports covariance tapering by Furrer et al. (2006) <doi:10.1198/106186006X132178> to allow MLE on large data.

Jakob Dambon

varycoef

Varying Coefficients

Fabio Sigrist

Reinhard Furrer

residuals.SVC_mle function

<code><a rd-options='' href='SVC_mle'>SVC_mle</a></code> object

Method to extract the residuals from an <code><a rd-options='' href='SVC_mle'>SVC_mle</a></code> object. This is only possible if <code>save.fitted</code> was set to <code>TRUE</code> in the control of the function call

residuals.SVC_mle: Extact Model Residuals

Description

Usage

Arguments

Value