Robust Fitter Functions for Linear Models
These are the basic computing engines called by lmRob used to robustly fit linear models. These functions are not intended to be used directly.
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, ...)
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 |
robust.control |
a list of control parameters to be used in the numerical algorithms. See |
... |
additional arguments. |
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