Package: SBmedian 0.1.2

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:Kisung You [aut, cre]

SBmedian_0.1.2.tar.gz
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SBmedian_0.1.2.tgz(r-4.6-x86_64)SBmedian_0.1.2.tgz(r-4.6-arm64)SBmedian_0.1.2.tgz(r-4.5-x86_64)SBmedian_0.1.2.tgz(r-4.5-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✨
card.svg |card.png
SBmedian/json (API)
NEWS

# Install 'SBmedian' in R:

install.packages('SBmedian', repos = c('https://kisungyou.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kisungyou/sbmedian/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

2.00 score 1 scripts 229 downloads 2 exports 7 dependencies

Last updated from:53a59a84cc. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	127
linux-devel-x86_64	OK	131
source / vignettes	OK	194
linux-release-arm64	OK	125
linux-release-x86_64	OK	129
macos-release-arm64	OK	96
macos-release-x86_64	OK	190
macos-oldrel-arm64	OK	100
macos-oldrel-x86_64	OK	352
windows-devel	OK	118
windows-release	OK	127
windows-oldrel	OK	108
wasm-release	OK	109