Package index
Data Summarization
Explore count response variables numerically and graphically before fitting a model.
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summarizeCountData() - Summarize count data
Model Fitting
Individual model fitters. Each returns exponentiated coefficients with 95% Wald confidence intervals, randomized quantile residuals, a Pearson dispersion ratio, and a two-panel diagnostic plot.
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poissonGLM() - Fit a Poisson regression model
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negbinGLM() - Fit a negative binomial regression model
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zeroinflPoissonGLM() - Fit a zero-inflated Poisson regression model
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zeroinflNegbinGLM() - Fit a zero-inflated negative binomial regression model
Model Selection
Fit all four model families and select the best by AIC, with plain-language diagnostics to guide interpretation.
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countGLM() - Fit and compare count regression models