msme (version 0.5.3)

P__disp: A function to calculate Pearson Chi2 and its dispersion statistic following glm and glm.nb.

Description

This function calculates Pearson Chi2 statistic and the Pearson-based dipersion statistic. Values of the dispersion greater than 1 indicate model overdispersion. Values under 1 indicate under-dispersion.

Usage

P__disp(x)

Arguments

x

the fitted model.

Value

pearson.chi2

Pearson Chi2 value.

dispersion

Pearson-basde dispersion.

Details

To be used following glm and glm.nb functions.

References

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

See Also

glm, glm.nb

Examples

# NOT RUN {
data(medpar)
mymod <- glm(los ~ hmo + white + factor(type), 
             family = poisson, 
             data = medpar)
P__disp(mymod)
# }