BRISC: Fast Inference for Large Spatial Datasets using BRISC

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
DOI: 10.32614/CRAN.package.BRISC
Author: Arkajyoti Saha [aut, cre], Abhirup Datta [aut], Jorge Nocedal [ctb], Naoaki Okazaki [ctb], Lukas M. Weber [ctb]
Maintainer: Arkajyoti Saha <arkajyotisaha93 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BRISC results


Reference manual: BRISC.pdf


Package source: BRISC_1.0.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: nnSVG, RandomForestsGLS, spoon


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