rb.lmRob: Robust Bootstrap Standard Errors
In robust: Port of the S+ "Robust Library"
Description
Usage
Arguments
Value
See Also
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
1
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
robust documentation built on May 2, 2019, 5:20 p.m.
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Description Usage Arguments Value See Also
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
1 | 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 |
Value
a numeric vector of robust bootstrap standard error estimates.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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