Lq                      L^q Norm Penalty
SCAD                    Smoothly Clipped Absolute Deviation Penalty
SVC_mle                 MLE of SVC model
SVC_mle_control         Set Parameters for 'SVC_mle'
coef.SVC_mle            Extact Mean Effects
cov_par                 Extact Covariance Parameters Function to
                        extract the covariance parameters from an
                        'SVC_mle' object.
d.Lq                    Derivative of L^q Norm Penalty
d.SCAD                  Derivative of Smoothly Clipped Absolute
                        Deviation Penalty
fitted.SVC_mle          Extact Model Fitted Values
fullSVC_reggrid         Sample Function for SVCs
logLik.SVC_mle          Extact the Likelihood
nlocs                   Extact Number of Unique Locations Function to
                        extract the number of unique locations in the
                        data set used in an MLE of the 'SVC_mle'
                        object.
nobs.SVC_mle            Extact Number of Observations
plot.SVC_mle            Plotting Residuals of 'SVC_mle' model
predict.SVC_mle         Prediction of SVC (and response variable)
print.SVC_mle           Print Method for 'SVC_mle'
print.summary.SVC_mle   Printing Method for 'summary.SVC_mle'
residuals.SVC_mle       Extact Model Residuals
summary.SVC_mle         Summary Method for 'SVC_mle'
varycoef                varycoef: Modeling Spatially Varying
                        Coefficients
