MvBinary-package: MvBinary a package for Multivariate Binary data

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

Description

MvBinary is a tool for fitting the distribution of correlated multivariate binary data.

Details

Package:	MvBinary
Type:	Package
Version:	1.0.0
Date:	2015-11-03
License:	GPL-2
LazyLoad:	yes

Author(s)

Author: Marbac M., and Sedki S.

References

Matthieu Marbac, Mohammed Sedki (2015). A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data. arXiv:1511.01343

Examples

# Package loading
rm(list=ls())
require(MvBinary)

# Data loading
data(MvBinaryExample)

# Parameter estimation by the HAC-based algorithm on 2 cores
# where the EM algorithms are initialized 10 times
res.CAH <- MvBinaryEstim(MvBinaryExample, 2, nbinit.EM = 10)

# Summary of the estimated model
summary(res.CAH)

# Print the parameters of the estimated model
print(res.CAH)

MvBinary documentation built on May 2, 2019, 10:15 a.m.