Efficient Stepwise Selection in Decomposable Models [R package ess version 1.1.2]

Mads Lindskou

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年05月31日

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

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:

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