R: Bias Test for Least-Squares Regression Estimates

lsRobTest {robust} | R Documentation

## Bias Test for Least-Squares Regression Estimates

### Description

Test for bias between least-squares and robust MM linear regression estimates.

### Usage

    lsRobTest(object, test = c("T2", "T1"), ...)

### Arguments

`object` | an `lmRob` object (the output of the `lmRob` function).
`test` | either `"T1"` or `"T2"`. Selects the null hypothesis. T2 (the default ): the error distribution not bias inducing. T1: the residual error distribution is normal.
`...` | additional arguments are ignored.

### Examples

    rob.fit <- lmRob(stack.loss ~ ., data = stackloss)
    lsRobTest(rob.fit)
    lsRobTest(rob.fit, test = "T1")

[Package robust version 0.5-0.0 Index]