Package: iZID
Title: Identify Zero-Inflated Distributions
Version: 0.0.1
Authors@R: c(
    person(given = "Lei",
           family = "Wang",
           role = c("aut", "cre",'cph'),
           email = "slimewanglei@163.com"),
    person(given = "Hani",
           family = "Aldirawi",
           role = c("aut",'cph'),
           email = "haldir2@uic.edu"),
    person(given = "Jie",
           family = "Yang",
           role = c("aut",'cph'),
           email = "jyang06@uic.edu"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: extraDistr (>= 1.8.11), methods (>= 3.1.0), rootSolve (>=
        1.7), foreach (>= 1.4.7), doParallel (>= 1.0.15), stats (>=
        3.1.0)
Depends: R (>= 3.1.0)
NeedsCompilation: no
Packaged: 2026-10-09 12:29:16 UTC; root
Author: Lei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang
        [aut, cph]
Maintainer: Lei Wang <slimewanglei@163.com>
Repository: https://xiaomangmang.r-universe.dev
Date/Publication: 2019-11-06 11:40:02 UTC
RemoteUrl: https://github.com/cran/iZID
RemoteRef: HEAD
RemoteSha: 9cfc679b0a69542a0b592006c55f90160f19751e