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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 unibo.it>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://www.unibo.it/sitoweb/christian.hennig/en
NeedsCompilation: no
In views: Distributions
CRAN checks: smoothmest results

Documentation:

Reference manual: smoothmest.pdf

Downloads:

Package source: smoothmest_0.1-3.tar.gz
Windows binaries: r-devel: smoothmest_0.1-3.zip, r-release: smoothmest_0.1-3.zip, r-oldrel: smoothmest_0.1-3.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.