AIC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
BIC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
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 |
house | Lucas County House Price Data |
IC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
logLik.SVC_mle | Extact the Likelihood |
Lq | L^q Norm Penalty |
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 SVCs (and response variable) |
print.summary.SVC_mle | Printing Method for 'summary.SVC_mle' |
print.SVC_mle | Print Method for 'SVC_mle' |
residuals.SVC_mle | Extact Model Residuals |
SCAD | Smoothly Clipped Absolute Deviation Penalty |
summary.SVC_mle | Summary Method for 'SVC_mle' |
SVC_mle | MLE of SVC model |
SVC_mle.default | MLE of SVC model |
SVC_mle.formula | MLE of SVC model |
SVC_mle_control | Set Parameters for 'SVC_mle' |
SVC_mle_control.default | Set Parameters for 'SVC_mle' |
SVC_mle_control.SVC_mle | Set Parameters for 'SVC_mle' |
SVC_selection | SVC Model Selection |
SVC_selection_control | SVC Selection Parameters |
varycoef | varycoef: Modeling Spatially Varying Coefficients |