Identify Zero-Inflated Distributions

Computes bootstrapped Monte Carlo estimate of p value of Kolmogorov-Smirnov (KS) test and likelihood ratio test for zero-inflated count data, based on the work of Aldirawi et al. (2019) . With the package, user can also find tools to simulate random deviates from zero inflated or hurdle models and obtain maximum likelihood estimate of unknown parameters in these models.


Reference manual

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0.0.1 by Lei Wang, a year ago

Browse source code at

Authors: Lei Wang [aut, cre, cph] , Hani Aldirawi [aut, cph] , Jie Yang [aut, cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports extraDistr, methods, rootSolve, foreach, doParallel, stats

See at CRAN