R: Accessing Generalized Linear Model Fits

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.