PoisBinNonNor: Data Generation with Poisson, Binary and Continuous Components

Generation of multiple count, binary and continuous 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.

AuthorGul Inan, Hakan Demirtas
Date of publication2016-05-13 23:45:09
MaintainerGul Inan <inanx002@umn.edu>
LicenseGPL-2 | GPL-3
Version1.1

View on CRAN

Functions

correlation.bound.check Man page
correlation.limits Man page
fleishman.coef Man page
gen.PoisBinNonNor Man page
intermediate.corr.BB Man page
intermediate.corr.BC Man page
intermediate.corr.CC Man page
intermediate.corr.PB Man page
intermediate.corr.PC Man page
intermediate.corr.PP Man page
overall.corr.mat Man page
PoisBinNonNor Man page
PoisBinNonNor-package Man page
validation.bin Man page
validation.corr Man page
validation.skewness.kurtosis Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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