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.
- Version0.0.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release11/06/2019
Documentation
Team
Lei Wang
Hani Aldirawi
Show author detailsRolesAuthor, Copyright holderJie Yang
Show author detailsRolesAuthor, Copyright holder
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- Imports4 packages