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: 0.1.0
Depends: R (≥ 3.3.0), RANN, parallel, stats, rdist, matrixStats, pbapply
Published: 2018-07-22
Author: Arkajyoti Saha [aut, cre], Abhirup Datta [aut], Jorge Nocedal [ctb], Naoaki Okazaki [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

Downloads:

Reference manual: BRISC.pdf
Package source: BRISC_0.1.0.tar.gz
Windows binaries: r-devel: BRISC_0.1.0.zip, r-release: BRISC_0.1.0.zip, r-oldrel: BRISC_0.1.0.zip
OS X binaries: r-release: BRISC_0.1.0.tgz, r-oldrel: BRISC_0.1.0.tgz

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