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

Downloads:

Reference manual: iZID.pdf
Package source: iZID_0.0.1.tar.gz
Windows binaries: r-devel: iZID_0.0.1.zip, r-devel-gcc8: iZID_0.0.1.zip, r-release: iZID_0.0.1.zip, r-oldrel: iZID_0.0.1.zip
OS X binaries: r-release: iZID_0.0.1.tgz, r-oldrel: iZID_0.0.1.tgz

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