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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