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 glm, typically the result of a call to glm.

type

the type of residuals which should be returned. The alternatives are: "deviance" (default), "pearson", "working", "response", and "partial". Can be abbreviated.

...

further arguments passed to or from other methods.

Details

The references define the types of residuals: ⁠Davison and Snell (1991) 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. If 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.

References

Davison A, Snell EJ (1991). “Residuals and Diagnostics.” In Hinkley DV, Reid N, Snell EJ (eds.), Statistical Theory and Modelling. In Honour of Sir David Cox, FRS. Chapman & Hall.

McCullagh P, Nelder JA (1989). Generalized Linear Models. Chapman and Hall/CRC, London. ISBN 978-0412317606.

Hastie TJ, Pregibon D (1992). “Generalized Linear Models.” In Chambers JM, Hastie TJ (eds.), Statistical Models in S, chapter 6. Wadsworth & Brooks/Cole.

See Also

glm for computing glm.obj, anova.glm; the corresponding generic functions, summary.glm, coef, deviance, df.residual, effects, fitted, residuals.

influence.measures for deletion diagnostics, including standardized (rstandard) and studentized (rstudent) residuals.


[Package stats version 4.6.0 Index]