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) <doi:10.1109/BHI.2019.8834661>. 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.
|Author||Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]|
|Maintainer||Lei Wang <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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