Description Details Author(s) References Examples
MvBinary is a tool for fitting the distribution of correlated multivariate binary data.
Package: | MvBinary |
Type: | Package |
Version: | 1.0.0 |
Date: | 2015-11-03 |
License: | GPL-2 |
LazyLoad: | yes |
Author: Marbac M., and Sedki S.
Matthieu Marbac, Mohammed Sedki (2015). A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data. arXiv:1511.01343
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # 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)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.