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.
| Version: |
0.0.1 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
extraDistr (≥ 1.8.11), methods (≥ 3.1.0), rootSolve (≥
1.7), foreach (≥ 1.4.7), doParallel (≥ 1.0.15), stats (≥
3.1.0) |
| Published: |
2019-11-06 |
| Author: |
Lei Wang [aut, cre, cph],
Hani Aldirawi [aut, cph],
Jie Yang [aut, cph] |
| Maintainer: |
Lei Wang <slimewanglei at 163.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
iZID results |
Documentation:
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