huber_estimate: Huber M-estimate
In power.transform: Location and Scale Invariant Power Transformations
huber_estimate R Documentation
Huber M-estimate
Description
Iteratively computes M-estimates for location and scale. These
are robust estimates of the mean and standard deviation of the data.
Usage
huber_estimate(x, k = 1.28, tol = 1e-04)
Arguments
x
Vector of numeric values for which the location and scale should be
estimated.
k
Numeric value > 0 that the determines the value beyond which the
signal is winsorized.
tol
Tolerance for the iterative procedure.
Value
list with location estimate "mu" and scale estimate "sigma".
power.transform documentation built on April 12, 2025, 5:08 p.m.
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| huber_estimate | R Documentation |
Huber M-estimate
Description
Iteratively computes M-estimates for location and scale. These are robust estimates of the mean and standard deviation of the data.
Usage
huber_estimate(x, k = 1.28, tol = 1e-04)
Arguments
x |
Vector of numeric values for which the location and scale should be estimated. |
k |
Numeric value > 0 that the determines the value beyond which the signal is winsorized. |
tol |
Tolerance for the iterative procedure. |
Value
list with location estimate "mu" and scale estimate "sigma".
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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