Learn R Programming
⚠️There's a newer version (0.3.5) of this package.Take me there.

varycoef (version 0.2.9)

Varying Coefficients

Description

Gives maximum likelihood estimation (MLE) method to estimate and predict spatially varying coefficient (SVC) Models. It supports covariance tapering by Furrer et al. (2006) to allow MLE on large data.

Copy Link

Version

Install

install.packages('varycoef')

Monthly Downloads

432

Version

0.2.9

License

GPL-2

Maintainer

Jakob Dambon

Last Published

October 11th, 2019

Functions in varycoef (0.2.9)

SVC_mle_control

Set Parameters for SVC_mle
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.
logLik.SVC_mle

Extact the Likelihood
print.summary.SVC_mle

Printing Method for summary.SVC_mle
residuals.SVC_mle

Extact Model Residuals
coef.SVC_mle

Extact Mean Effects
cov_par

Extact Covariance Parameters Function to extract the covariance parameters from an SVC_mle object.
predict.SVC_mle

Prediction of SVC (and response variable)
print.SVC_mle

Print Method for SVC_mle
fullSVC_reggrid

Sample Function for SVCs
SVC_mle

MLE of SVC model
fitted.SVC_mle

Extact Model Fitted Values
nobs.SVC_mle

Extact Number of Observations
varycoef

varycoef: An R Package for Varying Coefficient Models.
summary.SVC_mle

Summary Method for SVC_mle
plot.SVC_mle

Plotting Residuals of SVC_mle model