Spatio-temporal change of support (STCOS) methods are designed for statistical inference on geographic and/or time domains that differ from those on which the data were observed. 'stcos' implements a parsimonious class of Bayesian hierarchical spatio-temporal models for STCOS with Gaussian outcomes introduced by Bradley, Wikle, and Holan <doi:10.1002/sta4.94>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3), Rcpp, Matrix, sf |
| Imports: | R6 |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2019-04-25 |
| Author: | Andrew M. Raim [aut, cre], Scott H. Holan [aut, res], Jonathan R. Bradley [aut, res], Christopher K. Wikle [aut, res] |
| Maintainer: | Andrew M. Raim <andrew.raim at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/holans/ST-COS |
| NeedsCompilation: | yes |
| CRAN checks: | stcos results |
| Reference manual: | stcos.pdf |
| Package source: | stcos_0.1.0.tar.gz |
| Windows binaries: | r-devel: stcos_0.1.0.zip, r-release: stcos_0.1.0.zip, r-oldrel: stcos_0.1.0.zip |
| OS X binaries: | r-release: stcos_0.1.0.tgz, r-oldrel: stcos_0.1.0.tgz |
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