<p>A data set containing ofp (number of physician office visit) of 4406 individuals.</p>

datasets

Description: Computes maximum likelihood estimates of general, zero-inflated, and zero-altered models for discrete and continuous distributions. It also performs Kolmogorov-Smirnov (KS) tests and likelihood ratio tests for general, zero-inflated, and zero-altered data. Additionally, it obtains the inverse of the Fisher information matrix and confidence intervals for the parameters of general, zero-inflated, and zero-altered models. The package simulates random deviates from zero-inflated or hurdle models to obtain maximum likelihood estimates. Based on the work of Aldirawi et al. (2022) <doi:10.1007/s42519-021-00230-y> and Dousti Mousavi et al. (2023) <doi:10.1080/00949655.2023.2207020>.

Niloufar Dousti Mousavi

AZIAD

Analyzing Zero-Inflated and Zero-Altered Data

Hani Aldirawi

Jie Yang

ofp function

<p>The original data set is based on the work of Deb and Trivedi (1997) analyze data on 4406 individuals, aged 66 and over, who are covered
by Medicare, a public insurance program. Originally obtained from the US National Medical
Expenditure Survey (NMES) for 1987/88, the data are available from the data archive of
the Journal of Applied Econometrics at http://www.econ.queensu.ca/jae/1997-v12.3/deb-trivedi/.
In AZIAD package we work with the number of physicians office visits for the patients.Based on
the analysis of kstest.A and kstest.B and lrt.A the data belongs to zero-inflated beta negative binomial
or beta negative binomial hurdle model.</p>

ofp: Number of physician office visits.

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