Accessing Generalized Linear Model Fits
These functions are all
methods for class
# S3 method for glm family(object, …)
# S3 method for glm residuals(object, type = c("deviance", "pearson", "working", "response", "partial"), …)
- an object of class
glm, typically the result of a call to
- the type of residuals which should be returned.
The alternatives are:
"partial". Can be abbreviated.
- further arguments passed to or from other methods.
The references define the types of residuals: Davison & Snell is a
good reference for the usages of each. The partial residuals are a matrix of working residuals, with each
column formed by omitting a term from the model. How
residuals treats cases with missing values in the original
fit is determined by the
na.action argument of that fit.
na.action = na.omit omitted cases will not appear in the
residuals, whereas if
na.action = na.exclude they will appear,
with residual value
NA. See also
naresid. For fits done with
y = FALSE the response values are computed
from other components.
Davison, A. C. and Snell, E. J. (1991) Residuals and diagnostics. In: Statistical Theory and Modelling. In Honour of Sir David Cox, FRS, eds. Hinkley, D. V., Reid, N. and Snell, E. J., Chapman & Hall. Hastie, T. J. and Pregibon, D. (1992) Generalized linear models. Chapter 6 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth & Brooks/Cole. McCullagh P. and Nelder, J. A. (1989) Generalized Linear Models. London: Chapman and Hall.
glm for computing
the corresponding generic functions,
residuals. influence.measures for deletion diagnostics, including
and studentized (