Author: Hakan Demirtas, Yiran Hu, Rawan Allozi
Description: Generation of multiple count, binary, ordinal and normal variables
simultaneously given the marginal characteristics and association structure.
Depends: Matrix, corpcor, mvtnorm, psych, GenOrd
Packaged: 2016-05-20 20:00:17 UTC; rawanallozi

Packaged: 2017-01-25 18:30:22 UTC; rawanallozi

Packaged: 2017-03-28 15:16:26 UTC; rawanallozi

Packaged: 2018-01-10 15:34:41 UTC; rawanallozi

Author: Hakan Demirtas, Yiran Hu, Rawan Allozi, Ran Gao

The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Title: Simultaneous Generation of Count and Continuous Data
Description: This package generates count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously.
Depends: graphics, grDevices, stats, utils, BB, corpcor, MASS, Matrix
Packaged: 2015-02-06 16:36:23 UTC; Administrator

Author: Hakan Demirtas, Yaru Shi, Rawan Allozi
Description: Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously.
Packaged: 2016-05-24 23:14:11 UTC; rawanallozi

Packaged: 2017-01-25 18:31:48 UTC; rawanallozi

Packaged: 2017-03-28 15:23:18 UTC; rawanallozi

Packaged: 2018-01-10 15:38:01 UTC; rawanallozi

Packaged: 2018-03-10 21:15:17 UTC; rawanallozi

Author: Hakan Demirtas, Yaru Shi, Rawan Allozi, Ran Gao

Description: Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously. The details of the method are explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Title: Simultaneous generation of multivariate data with Poisson and
Description: A package for simulating 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.