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countDM (version 0.1.0)

Estimation of Count Data Models

Description

The maximum likelihood estimation (MLE) of the count data models along with standard error of the estimates and Akaike information model section criterion are provided. The functions allow to compute the MLE for the following distributions such as the Bell distribution, the Borel distribution, the Poisson distribution, zero inflated Bell distribution, zero inflated Bell Touchard distribution, zero inflated Poisson distribution, zero one inflated Bell distribution and zero one inflated Poisson distribution. Moreover, the probability mass function (PMF), distribution function (CDF), quantile function (QF) and random numbers generation of the Bell Touchard and zero inflated Bell Touchard distribution are also provided.

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Version

Install

install.packages('countDM')

Monthly Downloads

162

Version

0.1.0

License

GPL (>= 2)

Maintainer

Last Published

May 25th, 2023

Functions in countDM (0.1.0)

Stillbirths

Still births of New Zealand white rabbits
Criminal acts

The crime sociology consisting a sample of 4301 people with deviating behavior
Borel

MLE of the Borel distribution
Zero one inflated Bell

MLE of the zero one inflated Bell distrubution
countDM-package

Estimation of Count Data Models
Zero inflated Poisson

MLE of the zero inflated Poisson distribtion
Touchard polynomials

Touchard polynomials
Bell Touchard

PMF, CDF, QF, random generation and parameters estimation based on the Bell Touchard distribution
Bell

MLE of the Bell distribtion
Poisson

MLE of the Poisson distribution
Zero inflated Bell

MLE of the zero inflated Bell distribtion
Zero one inflated Poisson

MLE of the zero one inflated Poisson distrubution
Zero inflated Bell Touchard

MLE of the zero inflated Bell Touchard distribution