metRology (version 0.9-16.1)

M-estimators: 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, ...)

## S3 method for class 'default':
MM.estimate(x, u, c = 4.685, \dots)

huber.estimate(x, ...)

## S3 method for class 'default':
huber.estimate(x, u, k= 1.345, \dots)

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.

Value

• An object of class loc.est.

Details

These functions are wrappers for robust estimation using rlm. All simply call rlm with the formula x~1 and weights 1/u^2.

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))