Last data update: 2014.03.03
R: M- and MM-estimators for location.
M-estimators R Documentation
M- and MM-estimators for location.
Description
Functions for calculating M- and MM-estimators for location given values
and associated standard errors or standard uncertainties.
Usage
MM.estimate(x, ...)
## Default S3 method:
MM.estimate(x, u, c = 4.685, ...)
huber.estimate(x, ...)
## Default S3 method:
huber.estimate(x, u, k= 1.345, ...)
Arguments
x
numeric vector of mean values for groups
u
numeric vector of standard deviations or standard uncertainties associated with the values x
c, k
Tuning parameters passed to other functions (see rlm
)
...
Parameters passed to other functions.
Details
These functions are wrappers for robust estimation using rlm
. All simply
call rlm
with the formula x~1
and weights 1/u^2
.
Value
An object of class ‘loc.est’.
Author(s)
S. L. R. Ellison s.ellison@lgc.co.uk
References
None, yet.
See Also
rlm
, loc.est-class
Examples
## Cd heat of vapourisation example from the paper cited above
x2<-c(27.044, 26.022, 26.340, 26.787, 26.796)
v<-c(3, 76, 464, 3, 14)*1e-3
MM.estimate(x2, sqrt(v))
huber.estimate(x2, sqrt(v))
Results