summary.oneinflmodel {oneinfl} | R Documentation |
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)