Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data

Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data

This article describes the R package BinaryEPPM and its use in determining maximum likelihood estimates of the parameters of extended Poisson process models for grouped binary data. These provide a Poisson process family of flexible models that can handle unlimited under-dispersion but limited over-...

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Bibliographic Details
Main Authors: David M. Smith, Malcolm J. Faddy
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2019-07-01
Series:Journal of Statistical Software
Subjects:
binomial distribution
covariate effects
dispersion
poisson process
precision of estimates
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2955

Internet

https://www.jstatsoft.org/index.php/jss/article/view/2955

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