Data Generation with Poisson, Binary and Continuous Components

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Documentation for package ‘PoisBinNonNor’ version 1.3.3

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PoisBinNonNor-package Data Generation with Count, Binary and Continuous Components
correlation.bound.check Checks if the pairwise correlation among variables are within the feasible range
correlation.limits Computes lower and upper correlation bounds for each pair of variables
fleishman.coef Computes the coefficients of Fleishman third order polynomials
gen.PoisBinNonNor Simulates a sample of size n from a set of multivariate Poisson, binary, and continuous data
intermediate.corr.BB Computes an intermediate normal correlation matrix for binary variables given the specified correlation matrix
intermediate.corr.BC Computes intermediate correlation matrix for binary and continuous variables given the specified correlation matrix
intermediate.corr.CC Computes an intermediate correlation matrix for continuous variables given the specified correlation matrix
intermediate.corr.PB Computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-binary combinations given the specified correlation matrix.
intermediate.corr.PC Computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-continuous combinations given the specified correlation matrix.
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
PoisBinNonNor Data Generation with Count, Binary and Continuous Components
validation.bin Validates the marginal specification of the binary variables
validation.corr Validates the specified correlation matrix
validation.skewness.kurtosis Validates the marginal specification of the continuous variables