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varycoef (version 0.3.3)

Modeling Spatially Varying Coefficients

Description

Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) ). Covariance tapering (Furrer et al. (2006) ) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) ). The package and its capabilities are described in (Dambon et al. (2021c) ).

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Install

install.packages('varycoef')

Monthly Downloads

569

Version

0.3.3

License

GPL-2

Issues

3

Pull Requests

1

Stars

12

Forks

3

Maintainer

Jakob Dambon

Last Published

May 31st, 2022

Functions in varycoef (0.3.3)

SVC_mle

MLE of SVC model
SVC_selection_control

SVC Selection Parameters
SVC_selection

SVC Model Selection
Sigma_y

Covariance Matrix of GP-based SVC Model
coef.SVC_mle

Extact Mean Effects
SVC_mle_control

Set Parameters for SVC_mle
check_cov_lower

Check Lower Bound of Covariance Parameters
GLS_chol

GLS Estimate using Cholesky Factor
nobs.SVC_mle

Extact Number of Observations
print.SVC_mle

Print Method for SVC_mle
nlocs

Extract 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.
IC.SVC_mle

Conditional Akaike's and Bayesian Information Criteria
print.summary.SVC_mle

Printing Method for summary.SVC_mle
cov_par

Extact Covariance Parameters Function to extract the covariance parameters from an SVC_mle or SVC_selectionobject.
varycoef

varycoef: Modeling Spatially Varying Coefficients
predict.SVC_mle

Prediction of SVCs (and response variable)
prep_par_output

Preparation of Parameter Output
plot.SVC_mle

Plotting Residuals of SVC_mle model
own_dist

Computes (Cross-) Distances
residuals.SVC_mle

Extact Model Residuals
fitted.SVC_mle

Extact Model Fitted Values
house

Lucas County House Price Data
logLik.SVC_mle

Extact the Likelihood
init_bounds_optim

Setting of Optimization Bounds and Initial Values
summary.SVC_mle

Summary Method for SVC_mle