bizicount: Bivariate Zero-Inflated Count Copula Regression Using R

Dublin Core

Title

bizicount: Bivariate Zero-Inflated Count Copula Regression Using R

Subject

zero-inflated, bivariate, copula, Poisson, negative binomial, regression, R

Description

Two common issues arise in regression modelling of bivariate count data: (i) dependence across outcomes, and (ii) excess zero counts (i.e., zero inflation). However, there
are currently few options to estimate bivariate zero-inflated count regression models in
R. Therefore, we present an R package, bizicount, that enables researchers to easily estimate bivariate zero-inflated count copula regression models. By using copulas to model
the dependence across outcomes, researchers do not have to make assumptions about the
multivariate (and zero-inflated) structure relating their count variables to one another.
Instead, they are only required to make familiar assumptions about the marginal distribution of each outcome variable, which should enable wider use of our approach. Below
we present our proposed estimator, detail its advantages over existing alternatives, and
demonstrate the use of the corresponding functions for bivariate modeling of terrorism
data from Nigeria.

Creator

John M. Niehaus

Source

https://www.jstatsoft.org/article/view/v109i01

Publisher

Texas A&M University

Date

May 2024

Contributor

Fajar bagus W

Format

PDF

Language

English

Type

Text

Files

Citation

John M. Niehaus, “bizicount: Bivariate Zero-Inflated Count Copula Regression Using R,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8326.