glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
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Summary
The glmmTMB package fits many types of GLMMs and extensions, including models with continuously distributed responses, but here the authors focus on count responses and its ability to estimate the Conway-Maxwell-Poisson distribution parameterized by the mean is unique.
- Type
- article
- Published
- 2017-12-01
- Cited by
- 10,595
- References
- 44
- Access
- Open access
- OpenAlex
- https://openalex.org/W2786358356
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53453302
Keywords
Zero (linguistics), Generalized linear mixed model, Mathematics, Flexibility (engineering), Applied mathematics
References
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- Mixed Effects Models and Extensions in Ecology with R
- Regression Models for Count Data in R
- Fitting Linear Mixed-Effects Models Using lme4
- Dealing with under- and over-dispersed count data in life history, spatial, and community ecology
- A sequential reduction method for inference in generalized linear mixed models
- The zero-inflated Conway–Maxwell–Poisson distribution: Bayesian inference, regression modeling and influence diagnostic
- Nestling barn owls beg more intensely in the presence of their mother than in the presence of their father
- Generalized Linear Models
- Many zeros does not mean zero inflation: comparing the goodness‐of‐fit of parametric models to multivariate abundance data
- Generalized linear modelling for parasitologists.
- Tools to Make Developing R Packages Easier
- Zero-inflated Poisson regression, with an application to defects in manufacturing
- The distribution of the pathogenic nematode Nematodirus battus in lambs is zero-inflated
- Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
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