Modeling Spatially Varying Coefficients

Implements a maximum likelihood estimation (MLE) method for estimation and prediction in spatially varying coefficient (SVC) models (Dambon et al. (2020) ). Covariance tapering (Furrer et al. (2006) ) can be applied such that the method scales to large data.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("varycoef")

0.2.12 by Jakob A. Dambon, 3 months ago


https://github.com/jakobdambon/varycoef


Report a bug at https://github.com/jakobdambon/varycoef/issues


Browse source code at https://github.com/cran/varycoef


Authors: Jakob A. Dambon [aut, cre] , Fabio Sigrist [ctb] , Reinhard Furrer [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports RandomFields, optimParallel, sp

Depends on spam

Suggests gstat, knitr, microbenchmark, parallel, rmarkdown, R.rsp


See at CRAN