AZIAD: Analyzing Zero-Inflated and Zero-Altered Data

Computes maximum likelihood estimate of general, zero inflated, and zero altered models for discrete and continuous distributions. Computes Kolmogorov-Smirnov (KS) test and likelihood ratio test for general, zero-inflated, and zero-altered data. It obtains the inverse of fisher information matrix and confidence interval for the parameters of general, zero inflated, and zero altered models. It simulate random deviates from zero inflated or hurdle models to obtain maximum likelihood estimate. It is based on the work of Aldirawi et al. (2022) <doi:10.1007/s42519-021-00230-y>.

Getting started

Package details

AuthorNiloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph]
MaintainerNiloufar Dousti Mousavi <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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AZIAD documentation built on Aug. 14, 2022, 9:05 a.m.