Modeling Spatially Varying Coefficients


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Documentation for package ‘varycoef’ version 0.3.0

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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