glm.diag(glmfit)
glmfit
|
glmfit is a glm.object - the result of a call to glm()
|
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 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. |
glm.diag.plots
for an example of the use of glm.diag
.glm
, glm.diag.plots
, glm.object
, summary.glm