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countDM  

Estimation of Count Data Models
View on CRAN: Click here


Download and install countDM package within the R console
Install from CRAN:
install.packages("countDM")

Install from Github:
library("remotes")
install_github("cran/countDM")

Install by package version:
library("remotes")
install_version("countDM", "0.1.0")



Attach the package and use:
library("countDM")
Maintained by
Muhammad Imran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-25
Latest Update: 2023-05-25
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.
How to cite:
Muhammad Imran (2023). countDM: Estimation of Count Data Models. R package version 0.1.0, https://cran.r-project.org/web/packages/countDM
Previous versions and publish date:
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Other packages that cited countDM R package
View countDM citation profile
Other R packages that countDM depends, imports, suggests or enhances
Functions, R codes and Examples using the countDM R package
Some associated functions: TP . bellmle . bellt . countDM-package . data_criminal . data_sbirth . mle_borel . mle_poisson . mle_zip . mle_zoibell . mle_zoip . zibellmle . zibellt . 
Some associated R codes: bellmle.R . dzibellt.R . pzibellt.R . qbellt.R .  Full countDM package functions and examples
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