corcounts-package {corcounts} | R Documentation |
Sample high-dimensional correlated count random variables with approximate prespecified Pearson correlation and exact margins.
Package: | corcounts |
Type: | Package |
Version: | 1.2 |
Date: | 2008-11-27 |
License: | GPL (>= 3) |
LazyLoad: | yes |
Specify the marginal distributions and parameters and the desired correlation matrix and run 'rcounts()'.
In order to allow for regression, i.e. for individual parameters for each cluster, run 'rcounts.reg()'.
Maintainer: Vinzenz Erhardt <erhardt@ma.tum.de>
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.