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: 0.1-2
Depends: R (≥ 2.0), MASS
Published: 2012-08-23
Author: Christian Hennig
Maintainer: Christian Hennig <chrish at stats.ucl.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://www.homepages.ucl.ac.uk/~ucakche
NeedsCompilation: no
In views: Distributions
CRAN checks: smoothmest results

Documentation:

Reference manual: smoothmest.pdf

Downloads:

Package source: smoothmest_0.1-2.tar.gz
Windows binaries: r-devel: smoothmest_0.1-2.zip, r-release: smoothmest_0.1-2.zip, r-oldrel: smoothmest_0.1-2.zip
macOS binaries: r-release (arm64): smoothmest_0.1-2.tgz, r-oldrel (arm64): smoothmest_0.1-2.tgz, r-release (x86_64): smoothmest_0.1-2.tgz, r-oldrel (x86_64): smoothmest_0.1-2.tgz
Old sources: smoothmest archive

Reverse dependencies:

Reverse imports: mcb, PanCanVarSel, wmwpow
Reverse suggests: intsurvbin

Linking:

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