R: Robust Fitter Functions for Linear Models

lmRob.fit {robust} | R Documentation

## Robust Fitter Functions for Linear Models

### Description

These are the basic computing engines called by `lmRob` used to robustly fit linear models. These functions are not intended to be used directly.

### Usage

    lmRob.fit(x, y, x1.idx = NULL, nrep = NULL, robust.control = NULL, ...)

    lmRob.wfit(x, y, w, x1.idx = NULL, nrep = NULL, robust.control = NULL, ...)

### Arguments

`x` | a numeric matrix containing the design matrix.
`y` | a numeric vector containing the linear model response.
`w` | a numeric vector containing the weights.
`x1.idx` | a numeric vector containing the indices of columns of the design matrix arising from the coding of factor variables.
`nrep` | the number of random subsamples to be drawn. If `"Exhaustive"` resampling is being used, the value of `nrep` is ignored.
`robust.control` | a list of control parameters to be used in the numerical algorithms. See `lmRob.control` for the possible control parameters and their default settings.
`...` | additional arguments.

[Package robust version 0.5-0.0 Index]