Deviance and Chi-squared Goodness-of-Fit Test for Poisson Models

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Description

Deviance and Chi-squared goodness-of-fit test of the null hypothesis that poisson variance is appropriate to model the conditional dispersion of the data, given a particular model.

Usage

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poisGOF(obj)

Arguments

obj

A model object of class glm (with family=poisson).

Value

A 2x2 data frame with rows representing the different types of statistics (Deviance and Chi-squared) and columns representing the test statistic and p-value.

Author(s)

Dave Armstrong (UW-Milwaukee, Department of Political Science)

References

Dobson, A. J. (1990) An Introduction to Generalized Linear Models. London: Chapman and Hall.

Examples

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## Example taken from MASS help file for glm, identified to be
## Dobson (1990) Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
print(d.AD <- data.frame(treatment, outcome, counts))
glm.D93 <- glm(counts ~ outcome + treatment, family=poisson())
poisGOF(glm.D93)

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