| varycoef-package | varycoef: Modeling Spatially Varying Coefficients | 
| 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 |