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 |
| Reference manual: | iZID.pdf |
| Package source: | iZID_0.0.1.tar.gz |
| Windows binaries: | r-devel: iZID_0.0.1.zip, r-release: iZID_0.0.1.zip, r-oldrel: iZID_0.0.1.zip |
| macOS binaries: | r-release: iZID_0.0.1.tgz, r-oldrel: iZID_0.0.1.tgz |
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