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 22 Dec. 2024.
Previous versions and publish date:
1.0 (2015-11-17 14:40)
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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