P__disp {msme} | R Documentation |
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. |
Details
To be used following glm and glm.nb functions.
Value
pearson.chi2 |
Pearson Chi2 value. |
dispersion |
Pearson-basde dispersion. |
Author(s)
Joseph Hilbe and Andrew Robinson
References
Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.
See Also
Examples
data(medpar)
mymod <- glm(los ~ hmo + white + factor(type),
family = poisson,
data = medpar)
P__disp(mymod)
[Package msme version 0.5.3 Index]