Bayesian Methods in the Analysis of Zero-Inflated Poisson Model

Implementation of zero-inflated Poisson models under Bayesian framework using data augmentation as discussed in Chapter 5 of Zhang (2020) <>. This package is constructed in accommodating four different scenarios: the general scenario, the scenario with measurement error in responses, the external validation scenario, and the internal validation scenario.


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1.0.2 by Qihuang Zhang, 2 months ago

Browse source code at

Authors: Qihuang Zhang [aut, cre, cph] , Grace Y. Yi [aut, ths]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, MASS

Linking to Rcpp

See at CRAN