# Modeling Spatially Varying Coefficients

## Documentation for package ‘varycoef’ version 0.3.6

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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