The analysis of zero-inflated count data: Beyond zero-inflated Poisson regression.

DOI10.1111/j.2044-8317.2011.02031.xzbMath1245.62173OpenAlexW1867645765WikidataQ34032312 ScholiaQ34032312MaRDI QIDQ2905134

Olivia de Smet, Beatrijs Moerkerke, Ann Buysse, Tom Loeys

Publication date: 24 August 2012

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.2044-8317.2011.02031.x

zbMATH Keywords

\texttt{R}\texttt{R package pscl}

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to psychology (62P15)

Related Items (8)

Multivariate zero-inflated modeling with latent predictors: modeling feedback behavior ⋮ Bayesian and frequentist approaches on estimation and testing for a zero-inflated binomial distribution ⋮ Bayesian zero-inflated generalized Poisson regression model: estimation and case influence diagnostics ⋮ A test for lack-of-fit of zero-inflated negative binomial models ⋮ Extended Poisson–Tweedie: Properties and regression models for count data ⋮ A new and intuitive test for zero modification ⋮ A flexible zero-inflated model to address data dispersion ⋮ Transition models for count data: a flexible alternative to fixed distribution models

Uses Software

• R
• pscl
• COUNT

Cites Work

• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Finite mixture, zero-inflated Poisson and hurdle models with application to SIDS
• Negative Binomial Regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
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• Unnamed Item

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