alpha.fun: Utility functions for robust fitting
In smatr: (Standardised) Major Axis Estimation and Testing Routines
alpha.fun R Documentation
Utility functions for robust fitting
Description
Functions used by sma when 'robust = TRUE'.
Usage
alpha.fun(r, k, q)
huber.M(data, q = pchisq(3, 2))
Arguments
r, k, q
Parameters. For huber.M, q=pchisq(k+1,k)
gives the maximum breakdown point.
data
A numeric matrix, one observation per row.
Author(s)
Warton, D. I. David.Warton@unsw.edu.au, S. Taskinen
See Also
sma
smatr documentation built on Oct. 7, 2026, 1:08 a.m.
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| alpha.fun | R Documentation |
Utility functions for robust fitting
Description
Functions used by sma when 'robust = TRUE'.
Usage
alpha.fun(r, k, q)
huber.M(data, q = pchisq(3, 2))
Arguments
r, k, q |
Parameters. For |
data |
A numeric matrix, one observation per row. |
Author(s)
Warton, D. I. David.Warton@unsw.edu.au, S. Taskinen
See Also
sma
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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