The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
Maintainer: | Kisung You <kisungyou at outlook.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | SBmedian results |
Reference manual: | SBmedian.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=SBmedian to link to this page.
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.
Health stats visible at Monitor.