Package: SBmedian 0.1.2
Kisung You
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>.
Authors:
SBmedian_0.1.2.tar.gz
SBmedian_0.1.2.zip(r-4.7-x86_64)SBmedian_0.1.2.zip(r-4.7-arm64)SBmedian_0.1.2.zip(r-4.6-x86_64)SBmedian_0.1.2.zip(r-4.6-arm64)
SBmedian_0.1.2.tar.gz(r-4.7-arm64)SBmedian_0.1.2.tar.gz(r-4.7-x86_64)SBmedian_0.1.2.tar.gz(r-4.6-arm64)SBmedian_0.1.2.tar.gz(r-4.6-x86_64)
SBmedian_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SBmedian/json (API)
| # Install 'SBmedian' in R: |
| install.packages('SBmedian', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f0bca50f49. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 114 | ||
| linux-devel-x86_64 | OK | 158 | ||
| source / vignettes | OK | 182 | ||
| linux-release-arm64 | OK | 115 | ||
| linux-release-x86_64 | OK | 116 | ||
| windows-devel-arm64 | OK | 353 | ||
| windows-devel-x86_64 | OK | 103 | ||
| windows-release-arm64 | OK | 237 | ||
| windows-release-x86_64 | OK | 116 | ||
| wasm-release | OK | 104 |
Dependencies:expmlatticeMatrixrbibutilsRcppRcppArmadilloRdpack
