[aut, cre],
Fabio Sigrist
[ctb],
Reinhard Furrer
[ctb]Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) 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) <arXiv:2101.01932>).
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0), spam |
| Imports: | DiceKriging, glmnet, lhs, mlr, mlrMBO, RandomFields, optimParallel (≥ 0.8-1), ParamHelpers, pbapply, smoof, sp |
| Suggests: | gstat, knitr, microbenchmark, parallel, rmarkdown, R.rsp, spData |
| Published: | 2021-01-13 |
| Author: | Jakob A. Dambon
[aut, cre],
Fabio Sigrist
[ctb],
Reinhard Furrer
[ctb] |
| Maintainer: | Jakob A. Dambon <jakob.dambon at math.uzh.ch> |
| BugReports: | https://github.com/jakobdambon/varycoef/issues |
| License: | GPL-2 |
| URL: | https://github.com/jakobdambon/varycoef |
| NeedsCompilation: | no |
| Citation: | varycoef citation info |
| CRAN checks: | varycoef results |
| Reference manual: | varycoef.pdf |
| Vignettes: |
Manual First Example |
| Package source: | varycoef_0.3.0.tar.gz |
| Windows binaries: | r-devel: varycoef_0.3.0.zip, r-release: varycoef_0.3.0.zip, r-oldrel: varycoef_0.3.0.zip |
| macOS binaries: | r-release: varycoef_0.3.0.tgz, r-oldrel: varycoef_0.3.0.tgz |
| Old sources: | varycoef archive |
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