[aut, cre],
Fabio Sigrist
[ctb],
Reinhard Furrer
[ctb]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
[aut, cre],
Fabio Sigrist
[ctb],
Reinhard Furrer
[ctb] |
| Maintainer: | Jakob A. Dambon <jakob.dambon at math.uzh.ch> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | varycoef citation info |
| CRAN checks: | varycoef results |
| Reference manual: | varycoef.pdf |
| Vignettes: |
First Example Manual |
| Package source: | varycoef_0.2.10.tar.gz |
| Windows binaries: | r-devel: varycoef_0.2.10.zip, r-devel-gcc8: varycoef_0.2.10.zip, r-release: varycoef_0.2.10.zip, r-oldrel: varycoef_0.2.10.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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