summary.msme: A summary method for objects of class msme.

In msme: Functions and Datasets for "Methods of Statistical Model Estimation"

Description

This function provides a compact summary for fitted models.

Usage

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

Arguments

object	the fitted model.
...	optional arguments to be passed through.

Details

The function prints out a summary and returns an invisible list with useful objects.

Value

call	the call used to fit the model.
coefficients	a dataframe of estimates, standard errors, etc.
deviance	deviance from the model fit.
null.deviance	deviance from the null model fit.
df.residual	residual degrees of freedom from the model fit.
df.null	residual degrees of freedom from the null model fit.

Author(s)

Andrew Robinson and Joe Hilbe.

References

Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.

Examples

data(medpar)

ml.poi <- ml_glm(los ~ hmo + white,
                 family = "poisson",
                 link = "log",
                 data = medpar)

summary(ml.poi)

msme documentation built on May 2, 2019, 5:07 a.m.