ess: Efficient Stepwise Selection in Decomposable Models

An implementation of the ESS algorithm following Amol Deshpande, Minos Garofalakis, Michael I Jordan (2013) <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
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

Documentation:

Reference manual: 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
Old sources: ess archive

Reverse dependencies:

Reverse imports: bayesWatch
Reverse suggests: jti

Linking:

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