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A scalable Gibbs sampling implementation for high dimensional Bayesian regression with the continuous spike-and-slab prior. Niloy Biswas, Lester Mackey and Xiao-Li Meng, "Scalable Spike-and-Slab" (2022) <doi:10.48550/arXiv.2204.01668>.
Version: | 1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp, stats, TruncatedNormal |
LinkingTo: | Rcpp, RcppEigen |
Published: | 2022-05-18 |
DOI: | 10.32614/CRAN.package.ScaleSpikeSlab |
Author: | Niloy Biswas |
Maintainer: | Niloy Biswas <niloy_biswas at g.harvard.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | ScaleSpikeSlab results |
Reference manual: | ScaleSpikeSlab.pdf |
Package source: | ScaleSpikeSlab_1.0.tar.gz |
Windows binaries: | r-devel: ScaleSpikeSlab_1.0.zip, r-release: ScaleSpikeSlab_1.0.zip, r-oldrel: ScaleSpikeSlab_1.0.zip |
macOS binaries: | r-release (arm64): ScaleSpikeSlab_1.0.tgz, r-oldrel (arm64): ScaleSpikeSlab_1.0.tgz, r-release (x86_64): ScaleSpikeSlab_1.0.tgz, r-oldrel (x86_64): ScaleSpikeSlab_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.