AIC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
BIC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
check_cov_lower | Check Lower Bound of Covariance Parameters |
coef.SVC_mle | Extact Mean Effects |
coef.SVC_selection | Extact Mean Effects |
cov_par | Extact Covariance Parameters |
cov_par.SVC_mle | Extact Covariance Parameters |
cov_par.SVC_selection | Extact Covariance Parameters |
fitted.SVC_mle | Extact Model Fitted Values |
GLS_chol | GLS Estimate using Cholesky Factor |
GLS_chol.matrix | GLS Estimate using Cholesky Factor |
GLS_chol.spam.chol.NgPeyton | GLS Estimate using Cholesky Factor |
house | Lucas County House Price Data |
IC.SVC_mle | Conditional Akaike's and Bayesian Information Criteria |
init_bounds_optim | Setting of Optimization Bounds and Initial Values |
logLik.SVC_mle | Extact the Likelihood |
nlocs | Extract Number of Unique Locations |
nobs.SVC_mle | Extract 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 |
sample_SVCdata | Sample Function for GP-based SVC Model for Given Locations |
summary.SVC_mle | Summary Method for 'SVC_mle' |
SVCdata | Sampled SVC Data |
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 |