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mpath (version 0.1-20)

summary.glmregNB: Summary Method Function for Objects of Class 'glmregNB'

Description

Summary results of fitted penalized negative binomial regression model

Usage

## S3 method for class 'glmregNB':
summary(object, \dots)

Arguments

object
fitted model object of class glmregNB.
...
arguments passed to or from other methods.

Value

  • Summary of fitted penalized negative binomial model

Details

This function is a method for the generic function summary() for class "glmregNB". It can be invoked by calling summary(x) for an object x of the appropriate class, or directly by calling summary.glmregNB(x) regardless of the class of the object.

References

Zhu Wang, Shuangge Ma, Michael Zappitelli, Chirag Parikh, Ching-Yun Wang and Prasad Devarajan (2014) Penalized Count Data Regression with Application to Hospital Stay after Pediatric Cardiac Surgery, Statistical Methods in Medical Research. 2014 Apr 17. [Epub ahead of print]

See Also

summary, glm.nb

Examples

Run this code
data(quine, package="MASS")
summary(glmregNB(Days ~ Eth*Age*Lrn*Sex, quine, link = log))

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