PoisNor: Simultaneous Generation of Multivariate Data with Poisson and
Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture.
The details of the method are explained in Yahav et al. (2012) <doi:10.1002/asmb.901>.
||mvtnorm, corpcor, Matrix
||Anup Amatya, Hakan Demirtas, Ran Gao
||Ran Gao <rgao8 at uic.edu>
Please use the canonical form
to link to this page.