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ess: Efficient Stepwise Selection in Decomposable Models

An implementation of the ESS algorithm following Amol Deshpande, Minos Garofalakis, Michael I Jordan (2013) <doi:10.48550/arXiv.1301.2267>. The ESS algorithm is used for model selection in decomposable graphical models.

Version:1.1.2
Depends:R (≥ 3.5.0)
Imports:Rcpp,igraph
LinkingTo:Rcpp
Suggests:tinytest
Published:2021-05-31
DOI:10.32614/CRAN.package.ess
Author:Mads Lindskou [aut, cre]
Maintainer:Mads Lindskou <mads at math.aau.dk>
BugReports:https://github.com/mlindsk/ess/issues
License:GPL-3
URL:https://github.com/mlindsk/ess
NeedsCompilation:yes
SystemRequirements:C++11
Materials:README,NEWS
CRAN checks:ess results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:ess.html ,ess.pdf

Downloads:

Package source: ess_1.1.2.tar.gz
Windows binaries: r-devel:ess_1.1.2.zip, r-release:ess_1.1.2.zip, r-oldrel:ess_1.1.2.zip
macOS binaries: r-release (arm64):ess_1.1.2.tgz, r-oldrel (arm64):ess_1.1.2.tgz, r-release (x86_64):ess_1.1.2.tgz, r-oldrel (x86_64):ess_1.1.2.tgz
Old sources: ess archive

Reverse dependencies:

Reverse imports:bayesWatch
Reverse suggests:jti

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=essto link to this page.


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