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PoisNor  

Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
View on CRAN: Click here


Download and install PoisNor package within the R console
Install from CRAN:
install.packages("PoisNor")

Install from Github:
library("remotes")
install_github("cran/PoisNor")

Install by package version:
library("remotes")
install_version("PoisNor", "1.3.3")



Attach the package and use:
library("PoisNor")
Maintained by
Ran Gao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-03-19
Latest Update: 2021-03-21
Description:
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) .
How to cite:
Ran Gao (2014). PoisNor: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals. R package version 1.3.3, https://cran.r-project.org/web/packages/PoisNor
Previous versions and publish date:
1.0 (2014-03-19 20:23), 1.1 (2016-07-01 10:57), 1.2 (2018-02-11 15:13), 1.3.1 (2019-05-14 23:30), 1.3.2 (2020-05-18 06:50), 1.3 (2019-02-25 00:00)
Other packages that cited PoisNor R package
View PoisNor citation profile
Other R packages that PoisNor depends, imports, suggests or enhances
Functions, R codes and Examples using the PoisNor R package
Some associated functions: Cor.PN.Limit . Cor.PP.Limit . PoisNor-package . Valid.correlation . Validate.correlation . cmat.star . genPoisNor . 
Some associated R codes: Cor.PN.Limit.R . Cor.PP.Limit.R . Valid.correlation.R . Validate.correlation.R . cmat.star.R . genPoisNor.R .  Full PoisNor package functions and examples
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