summary.oneinflmodel: Summarize One-Inflated Regression Models

In oneinfl: Estimates OIPP and OIZTNB Regression Models

Summarize One-Inflated Regression Models

Description

Provides a summary of the fitted model, including estimated coefficients, standard errors, significance levels, and other relevant statistics.

Usage

## S3 method for class 'oneinflmodel'
summary(object, ...)

Arguments

object	A model object of class "oneinflmodel" (for one-inflated models).
...	Additional arguments (currently unused).

Details

This function generates a detailed summary of the fitted model, including:

• Estimated coefficients for the rate component (beta).

• Estimated coefficients for the one-inflation component (gamma).

• Standard errors.

• z-statistics, associated p-values, and corresponding significance codes.

• Average, and average absolute, one-inflation.

• Log-likelihood of the fitted model.

Value

Prints a summary table of coefficients, standard errors, z-values, p-values, significance codes, one-inflation probabilities, and log-likelihood.

See Also

oneinfl for fitting one-inflated models.

Examples

# Example usage
df <- data.frame(x = rnorm(100), z = rnorm(100), y = rpois(100, lambda = 5))
model <- oneinfl(y ~ x | z, df = df, dist = "Poisson")
summary(model)

oneinfl documentation built on April 4, 2025, 12:05 a.m.