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:Kisung You [aut, cre]

SBmedian_0.1.2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 1 scripts 233 downloads 2 exports 7 dependencies

Last updated from:f0bca50f49. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK171
linux-devel-x86_64OK126
source / vignettesOK192
linux-release-arm64OK167
linux-release-x86_64OK129
wasm-releaseOK110

Exports:mpost.eucmpost.spd

Dependencies:expmlatticeMatrixrbibutilsRcppRcppArmadilloRdpack