Other packages > Find by keyword >

MvBinary  

Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution
View on CRAN: Click here


Download and install MvBinary package within the R console
Install from CRAN:
install.packages("MvBinary")

Install from Github:
library("remotes")
install_github("cran/MvBinary")

Install by package version:
library("remotes")
install_version("MvBinary", "1.1")



Attach the package and use:
library("MvBinary")
Maintained by
Mohammed Sedki
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-17
Latest Update: 2016-12-15
Description:
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.
How to cite:
Mohammed Sedki (2015). MvBinary: Modelling Multivariate Binary Data with Blocks of Specific One-Factor Distribution. R package version 1.1, https://cran.r-project.org/web/packages/MvBinary. Accessed 26 Aug. 2026.
Previous versions and publish date:
1.0 (2015-11-17 14:40), (2026-07-09 08:11)
Other packages that cited MvBinary R package
View MvBinary citation profile
Other R packages that MvBinary depends, imports, suggests or enhances
Complete documentation for MvBinary
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA