The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.

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

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, 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 form https://CRAN.R-project.org/package=ess 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.