R: Generalized Additive Model residuals

residuals.gam {mgcv} | R Documentation

## Generalized Additive Model residuals

### Description

Returns residuals for a fitted `gam` model object. Pearson, deviance, working and response residuals are available.

### Usage

    ## S3 method for class 'gam'
    residuals(object, type = "deviance",...)

### Arguments

`object` | a `gam` fitted model object.
`type` | the type of residuals wanted. Usually one of `"deviance"`, `"pearson"`,`"scaled.pearson"`, `"working"`, or `"response"`.
`...` | other arguments.

### Details

Response residuals are the raw residuals (data minus fitted values). Scaled Pearson residuals are raw residuals divided by the standard deviation of the data according to the model mean variance relationship and estimated scale parameter. Pearson residuals are the same, but multiplied by the square root of the scale parameter (so they are independent of the scale parameter): ((y-m)/V(m)^0.5, where y is data m is model fitted value and V is model mean-variance relationship.). Both are provided since not all texts agree on the definition of Pearson residuals. Deviance residuals simply return the deviance residuals defined by the model family. Working residuals are the residuals returned from model fitting at convergence.

Families can supply their own residual function, which is used in place of the standard function if present, (e.g. `cox.ph`).

### Value

A vector of residuals.

### Author(s)

Simon N. Wood simon.wood@r-project.org

### See Also

`gam`

[Package mgcv version 1.8-17 Index]