R: ANOVA for Robust Generalized Linear Model Fits

anova.glmRob {robust} | R Documentation

## ANOVA for Robust Generalized Linear Model Fits

### Description

Compute an analysis of variance table for one or more robust generalized linear model fits.

### Usage

    ## S3 method for class 'glmRob'
    anova(object, ..., test = c("none", "Chisq", "F", "Cp"))
    ## S3 method for class 'glmRoblist'
    anova(object, ..., test = c("none", "Chisq", "F", "Cp"))

### Arguments

`object` | a glmRob object.
`...` | additional glmRob objects.
`test` | a character string specifying the test statistic to be used. Can be one of "F", "Chisq", "Cp" or "none" for no test.

### Value

an `anova` object.

### See Also

`glmRob`, `anova`, `anova.glmRoblist`.

### Examples

    data(breslow.dat)

    bres.int <- glmRob(sumY ~ Age10 + Base4*Trt, family = poisson(), data = breslow.dat)
    anova(bres.int)

    bres.main <- glmRob(sumY ~ Age10 + Base4 + Trt, family = poisson(), data = breslow.dat)
    anova(bres.main, bres.int)

[Package robust version 0.6-1 Index]