The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

MvBinary: Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution

Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution. Variables are grouped into independent blocks. Each variable is described by two continuous parameters (its marginal probability and its dependency strength with the other block variables), and one binary parameter (positive or negative dependency). Model selection consists in the estimation of the repartition of the variables into blocks. It is carried out by the maximization of the BIC criterion by a deterministic (faster) algorithm or by a stochastic (more time consuming but optimal) algorithm. Tool functions facilitate the model interpretation.

Version: 1.1
Depends: R (≥ 3.0.2)
Imports: methods, mgcv, parallel
Published: 2016-12-15
DOI: 10.32614/CRAN.package.MvBinary
Author: Matthieu Marbac and Mohammed Sedki
Maintainer: Mohammed Sedki <mohammed.sedki at u-psud.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MvBinary results

Documentation:

Reference manual: MvBinary.pdf

Downloads:

Package source: MvBinary_1.1.tar.gz
Windows binaries: r-devel: MvBinary_1.1.zip, r-release: MvBinary_1.1.zip, r-oldrel: MvBinary_1.1.zip
macOS binaries: r-release (arm64): MvBinary_1.1.tgz, r-oldrel (arm64): MvBinary_1.1.tgz, r-release (x86_64): MvBinary_1.1.tgz, r-oldrel (x86_64): MvBinary_1.1.tgz
Old sources: MvBinary archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MvBinary 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.
Health stats visible at Monitor.