COMPoissonReg

swMATH23493CRANCOMPoissonRegMaRDI QIDQ35266

Conway-Maxwell Poisson (COM-Poisson) Regression

Kimberly Sellersthomas Lotzeandrew Raim

Last update: 29 November 2023

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 0.8.0, 0.1.1, 0.2.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.4.0, 0.4.1, 0.6.0, 0.6.1, 0.7.0, 0.8.1

Source code repository: https://github.com/cran/COMPoissonReg

Description

Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016) <doi:10.1016/j.csda.2016.01.007> is also supported.

Cites work

• A flexible regression model for count data
• A flexible zero-inflated model to address data dispersion

Related Items (12)

A flexible regression model for zero- and k-inflated count data ⋮ Efficient estimation of COM-Poisson regression and a generalized additive model ⋮ A generalized stochastic condensation mechanism for inducing underdispersion in count models ⋮ Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression ⋮ A Conway-Maxwell-multinomial distribution for flexible modeling of clustered categorical data ⋮ Efficient Bayesian inference for COM-Poisson regression models ⋮ A hyper-Poisson regression model for overdispersed and underdispersed count data ⋮ DGLMExtPois ⋮ miRecSurv ⋮ Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion ⋮ A Time-Series Model for Underdispersed or Overdispersed Counts ⋮ The Conway–Maxwell–Poisson Distribution

This page was built for software: COMPoissonReg