MvBinary a package for Multivariate Binary data

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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

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# 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)