corcounts-package {corcounts}R Documentation

Generate correlated count random variables

Description

Generate high-dimensional correlated count random variables with a prespecified Pearson correlation.

Details

Package: corcounts
Type: Package
Version: 1.1
Date: 2008-11-11
License: GPL (>= 3)
LazyLoad: yes

Specify the marginal distributions and parameters and the desired correlation matrix and run 'rcounts()'.

Author(s)

Maintainer: Vinzenz Erhardt <erhardt@ma.tum.de>

References

Erhardt, V., Czado, C. (2008) A method for approximately sampling high-dimensional count variables with prespecified Pearson correlation. Submitted for publication.

Czado, C., Erhardt, V., Min, A., Wagner, S. (2007) Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates. Statistical Modelling 7 (2), 125-153.


[Package corcounts version 1.1 Index]