PoisBinOrd v1.4.1

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Data Generation with Poisson, Binary and Ordinal Components

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.

Functions in PoisBinOrd

Name Description
validation.ord Validates the marginal specification of the ordinal variables
overall.corr.mat Computes the final intermediate correlation matrix
correlation.limits Computes lower and upper correlation bounds for each pair of variables
correlation.bound.check Checks if the pairwise correlation among variables are within the feasible range
intermediate.corr.BO Computes an intermediate normal correlation matrix for any combination of binary and ordinal variables given the specified correlation matrix
intermediate.corr.PP Computes an intermediate normal correlation matrix for Poisson variables given the specified correlation matrix
gen.PoisBinOrd Simulates a sample of size n from a set of multivariate Poisson, binary, and ordinal variables
validation.corr Validates the specified correlation matrix
validation.bin Validates the marginal specification of the binary variables
PoisBinOrd-package Data Generation with Count, Binary and Ordinal Components
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.
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Type Package
Date 2019-05-15
License GPL-2 | GPL-3
NeedsCompilation no
Packaged 2019-05-15 20:55:16 UTC; rangao
Repository CRAN
Date/Publication 2019-05-15 21:10:10 UTC

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