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msme (version 0.5.1)

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

Description

This function provides a compact summary for fitted models.

Usage

"summary"(object, ...)

Arguments

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

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.

Details

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

References

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

Examples

Run this code

data(medpar)

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

summary(ml.poi)


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