| glm.summaries {stats} | R Documentation |
Accessing Generalized Linear Model Fits
Description
These functions are all methods for class glm or
summary.glm objects.
Usage
## S3 method for class 'glm'
family(object, ...)
## S3 method for class 'glm'
residuals(object, type = c("deviance", "pearson", "working",
"response", "partial"), ...)
Arguments
object |
an object of class |
type |
the type of residuals which should be returned.
The alternatives are: |
... |
further arguments passed to or from other methods. |
Details
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.
References
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.
See Also
glm for computing glm.obj, anova.glm;
the corresponding generic functions, summary.glm,
coef, deviance,
df.residual,
effects, fitted,
residuals.