varycoef: 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) <arXiv:2001.08089>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data.

Version: 0.2.10
Depends: spam
Imports: fields, sp, RandomFields, optimParallel (≥ 0.8-1)
Suggests: tmap, knitr, rmarkdown, microbenchmark, parallel, gstat
Published: 2020-02-21
Author: Jakob A. Dambon ORCID iD [aut, cre], Fabio Sigrist ORCID iD [ctb], Reinhard Furrer ORCID iD [ctb]
Maintainer: Jakob A. Dambon <jakob.dambon at math.uzh.ch>
License: GPL-2
NeedsCompilation: no
Citation: varycoef citation info
CRAN checks: varycoef results

Downloads:

Reference manual: varycoef.pdf
Vignettes: First Example
Manual
Package source: varycoef_0.2.10.tar.gz
Windows binaries: r-devel: varycoef_0.2.9.zip, r-devel-gcc8: varycoef_0.2.10.zip, r-release: varycoef_0.2.10.zip, r-oldrel: varycoef_0.2.9.zip
OS X binaries: r-release: varycoef_0.2.10.tgz, r-oldrel: varycoef_0.2.10.tgz
Old sources: varycoef archive

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