smoothmest: Smoothed M-Estimators for 1-Dimensional Location

Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy distribution, and the estimators from application of the smoothing principle introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber M-estimator, and the median, main function is smoothm), and Pitman estimator.

Version: 0.1-3
Depends: R (≥ 2.0), MASS
Published: 2022-04-27
DOI: 10.32614/CRAN.package.smoothmest
Author: Christian Hennig
Maintainer: Christian Hennig <christian.hennig at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
In views: Distributions
CRAN checks: smoothmest results


Reference manual: smoothmest.pdf


Package source: smoothmest_0.1-3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): smoothmest_0.1-3.tgz, r-oldrel (arm64): smoothmest_0.1-3.tgz, r-release (x86_64): smoothmest_0.1-3.tgz, r-oldrel (x86_64): smoothmest_0.1-3.tgz
Old sources: smoothmest archive

Reverse dependencies:

Reverse imports: mcb, PanCanVarSel, wmwpow


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