glmfit is a glm.object - the result of a call to glm()
Value
Returns a list with the following components
res
The vector of jackknife deviance residuals.
rd
The vector of standardized deviance residuals.
rp
The vector of standardized Pearson residuals.
cook
The vector of approximate Cook statistics.
h
The vector of leverages of the observations.
sd
The 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.