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PoisBinOrd (version 1.4.3)

Data Generation with Poisson, Binary and Ordinal Components

Description

Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya, A. and Demirtas, H. (2015) .

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Version

Install

install.packages('PoisBinOrd')

Monthly Downloads

202

Version

1.4.3

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

March 22nd, 2021

Functions in PoisBinOrd (1.4.3)

validation.corr

Validates the specified correlation matrix
PoisBinOrd-package

Data Generation with Count, Binary and Ordinal Components
correlation.bound.check

Checks if the pairwise correlation among variables are within the feasible range
intermediate.corr.PP

Computes an intermediate normal correlation matrix for Poisson variables given the specified correlation matrix
overall.corr.mat

Computes the final intermediate correlation matrix
correlation.limits

Computes lower and upper correlation bounds for each pair of variables
gen.PoisBinOrd

Simulates a sample of size n from a set of multivariate Poisson, binary, and ordinal variables
validation.ord

Validates the marginal specification of the ordinal variables
intermediate.corr.BO

Computes an intermediate normal correlation matrix for any combination of binary and ordinal variables given the specified correlation matrix
intermediate.corr.PBO

Computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-binary and Poisson-ordinal variable combinations given the specified correlation matrix.
validation.bin

Validates the marginal specification of the binary variables