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Spatio-temporal change of support (STCOS) methods are designed for statistical inference on geographic and time domains which differ from those on which the data were observed. In particular, a parsimonious class of STCOS models supporting Gaussian outcomes was introduced by Bradley, Wikle, and Holan <doi:10.1002/sta4.94>. The 'stcos' package contains tools which facilitate use of STCOS models.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.3), Rcpp, Matrix, sf, dplyr |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2023-08-21 |
| 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: | MIT + file LICENSE |
| URL: | https://github.com/holans/ST-COS |
| NeedsCompilation: | yes |
| Citation: | stcos citation info |
| CRAN checks: | stcos results |
| Reference manual: | stcos.pdf |
| Package source: | stcos_0.3.1.tar.gz |
| Windows binaries: | r-devel: stcos_0.3.1.zip, r-release: stcos_0.3.1.zip, r-oldrel: stcos_0.3.1.zip |
| macOS binaries: | r-release (arm64): stcos_0.3.1.tgz, r-oldrel (arm64): stcos_0.3.1.tgz, r-release (x86_64): stcos_0.3.1.tgz, r-oldrel (x86_64): stcos_0.3.1.tgz |
| Old sources: | stcos archive |
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