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Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.
| Version: | 1.0.5 |
| Depends: | R (≥ 3.3.0), RANN, parallel, stats, rdist, matrixStats, pbapply, graphics |
| Published: | 2022-04-29 |
| Author: | Arkajyoti Saha [aut, cre], Abhirup Datta [aut], Jorge Nocedal [ctb], Naoaki Okazaki [ctb], Lukas M. Weber [ctb] |
| Maintainer: | Arkajyoti Saha <arkajyotisaha93 at gmail.com> |
| BugReports: | https://github.com/ArkajyotiSaha/BRISC/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/ArkajyotiSaha/BRISC |
| NeedsCompilation: | yes |
| CRAN checks: | BRISC results |
| Reference manual: | BRISC.pdf |
| Package source: | BRISC_1.0.5.tar.gz |
| Windows binaries: | r-devel: BRISC_1.0.5.zip, r-release: BRISC_1.0.5.zip, r-oldrel: BRISC_1.0.5.zip |
| macOS binaries: | r-release (arm64): BRISC_1.0.5.tgz, r-oldrel (arm64): BRISC_1.0.5.tgz, r-release (x86_64): BRISC_1.0.5.tgz, r-oldrel (x86_64): BRISC_1.0.5.tgz |
| Old sources: | BRISC archive |
| Reverse imports: | nnSVG, RandomForestsGLS, spoon |
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