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) <doi:10.1080/13658816.2022.2097684>). The package and its capabilities are described in (Dambon et al. (2021c) <doi:10.48550/arXiv.2106.02364>).
| Version: | 0.3.6 |
| Depends: | R (≥ 3.5.0) |
| Imports: | glmnet,lhs, methods,mlr,mlrMBO,optimParallel (≥ 0.8-1),ParamHelpers,pbapply,smoof,spam |
| Suggests: | DiceKriging,knitr,lattice,latticeExtra, parallel,rmarkdown,sp,spData,testthat (≥ 3.0.0) |
| Published: | 2025-05-04 |
| DOI: | 10.32614/CRAN.package.varycoef |
| Author: | Jakob A. Dambon [aut, cre], Fabio Sigrist [ctb], Reinhard Furrer [ctb] |
| Maintainer: | Jakob A. Dambon <jakob.dambon at math.ethz.ch> |
| BugReports: | https://github.com/jakobdambon/varycoef/issues |
| License: | GPL-2 |
| URL: | https://github.com/jakobdambon/varycoef |
| NeedsCompilation: | no |
| Citation: | varycoef citation info |
| In views: | Spatial |
| CRAN checks: | varycoef results |