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 |
| Reference manual: | smoothmest.html , 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, spdgp, wmwpow |
Please use the canonical form https://CRAN.R-project.org/package=smoothmest to link to this page.