| MvBinary-package | R Documentation |
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
# 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)