# Modeling Spatially Varying Coefficients

## Documentation for package ‘varycoef’ version 0.2.12

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

## Help Pages

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
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'
varycoef | varycoef: Modeling Spatially Varying Coefficients