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 |
| DOI: | 10.32614/CRAN.package.SBmedian |
| Author: | Kisung You  [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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