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.

Getting started

Package details

AuthorLei Wang [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]
MaintainerLei Wang <slimewanglei@163.com>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the iZID package in your browser

Any scripts or data that you put into this service are public.

iZID documentation built on Nov. 6, 2019, 5:08 p.m.