glmfit is a glm.object - the result of a call to glm()
Value
Returns a list with the following components
resThe vector of jackknife deviance residuals.
rdThe vector of standardized deviance residuals.
rpThe vector of standardized Pearson residuals.
cookThe vector of approximate Cook statistics.
hThe vector of leverages of the observations.
sdThe value used to standardize the residuals. This is the estimate of
residual standard deviation in the Gaussian family and is the square root of
the estimated shape parameter in the Gamma family. In all other cases it is 1.
References
Davison, A.C. and Snell, E.J. (1991) Residuals and diagnostics.
In Statistical Theory and Modelling: In Honour of Sir David Cox.
D.V. Hinkley, N. Reid and E.J. Snell (editors), 83--106. Chapman and Hall.