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SBmedian: Scalable Bayes with Median of Subset Posteriors

Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) <doi:10.3150/14-BEJ645>.

Version: 0.1.1
Imports: Rcpp, Rdpack, expm, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-08-16
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kisungyou at outlook.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: SBmedian results

Documentation:

Reference manual: SBmedian.pdf

Downloads:

Package source: SBmedian_0.1.1.tar.gz
Windows binaries: r-devel: SBmedian_0.1.1.zip, r-release: SBmedian_0.1.1.zip, r-oldrel: SBmedian_0.1.1.zip
macOS binaries: r-release (arm64): SBmedian_0.1.1.tgz, r-oldrel (arm64): SBmedian_0.1.1.tgz, r-release (x86_64): SBmedian_0.1.1.tgz, r-oldrel (x86_64): SBmedian_0.1.1.tgz
Old sources: SBmedian archive

Linking:

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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.
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