summary.truncmodel {oneinfl} | R Documentation |
Summarize Truncated 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 'truncmodel'
summary(object, ...)
Arguments
object |
A model object of class '"truncmodel"' (for truncated models). |
... |
Additional arguments (currently unused). |
Details
This function generates a detailed summary of the fitted model, including:
- Estimated coefficients for the rate component (beta
).
- Standard errors.
- z-statistics, associated p-values, and corresponding significance codes.
- Log-likelihood of the fitted model.
Value
Prints a summary table of coefficients, standard errors, z-values, p-values, significance codes, and log-likelihood.
See Also
truncreg
for fitting truncated regression models.
Examples
# Example usage
df <- data.frame(x = rnorm(100), y = rpois(100, lambda = 5))
model <- truncreg(y ~ x, df = df, dist = "Poisson")
summary(model)
[Package oneinfl version 1.0.2 Index]