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

Description Usage Arguments Details Value Author(s) References Examples

Description

This function provides a compact summary for fitted models.

Usage

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## 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

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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.

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