R: Robust Bootstrap Standard Errors

rb.lmRob {robust} | R Documentation

## Robust Bootstrap Standard Errors

### Description

Computes a robust bootstrap estimate of the standard error for each coefficient estimate in a robustly fitted linear model. This function is called by `summary.lmRob` and is not intended to be called directly by users.

### Usage

    rb.lmRob(lmRob.object, M = 1000, seed = 99, fixed = TRUE)

### Arguments

`lmRob.object` | an lmRob object.
`M` | a positive integer giving the number of bootstrap subsamples.
`seed` | a positive integer specifying the seed for the random number generator.
`fixed` | a logical value. This should be set to `TRUE`.

### Value

a numeric vector of robust bootstrap standard error estimates.

### See Also

`lmRob`, `summary.lmRob`.

[Package robust version 0.6-1 Index]