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iZID: 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) <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.
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Package details |
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| Author | Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph] |
| Maintainer | Lei Wang <slimewanglei@163.com> |
| License | MIT + file LICENSE |
| Version | 0.0.1 |
| Package repository | View on CRAN |
| Installation |
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