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 |
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 |
Reference manual: | smoothmest.pdf |
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 imports: | mcb, PanCanVarSel, wmwpow |
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