Description Usage Arguments Value See Also
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.
1 | rb.lmRob(lmRob.object, M = 1000, seed = 99, fixed = TRUE)
|
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 |
a numeric vector of robust bootstrap standard error estimates.
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