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Displays a structured summary of the hurdle Beta-Binomial model, including model information, fixed-effect estimates separated by margin with confidence intervals, dispersion parameter, MCMC diagnostics, and design effect ratios (when sandwich SEs are used).

Usage

# S3 method for class 'summary.hbb_fit'
print(x, digits = 3, ...)

Arguments

x

An object of class "summary.hbb_fit" returned by summary.hbb_fit.

digits

Integer; number of significant digits for numeric output. Default is 3.

...

Additional arguments (currently unused).

Value

The object x, invisibly.

Details

The entire method is wrapped in a top-level tryCatch so that it never crashes, even if the summary object is corrupted or incomplete.

See also

Examples

if (FALSE) { # \dontrun{
fit <- hbb(y | trials(n_trial) ~ poverty + urban, data = my_data)
s <- summary(fit)
print(s, digits = 4)
} # }