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>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: ess results


Reference manual: ess.pdf


Package source: ess_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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