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smoothmest  

Smoothed M-Estimators for 1-Dimensional Location
View on CRAN: Click here


Download and install smoothmest package within the R console
Install from CRAN:
install.packages("smoothmest")

Install from Github:
library("remotes")
install_github("cran/smoothmest")

Install by package version:
library("remotes")
install_version("smoothmest", "0.1-3")



Attach the package and use:
library("smoothmest")
Maintained by
Christian Hennig
[Scholar Profile | Author Map]
First Published: 2010-09-15
Latest Update: 2022-04-27
Description:
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.
How to cite:
Christian Hennig (2010). smoothmest: Smoothed M-Estimators for 1-Dimensional Location. R package version 0.1-3, https://cran.r-project.org/web/packages/smoothmest. Accessed 21 Apr. 2025.
Previous versions and publish date:
0.1-1 (2010-09-15 22:20), 0.1-2 (2012-08-23 08:32)
Other packages that cited smoothmest R package
View smoothmest citation profile
Other R packages that smoothmest depends, imports, suggests or enhances
Complete documentation for smoothmest
Functions, R codes and Examples using the smoothmest R package
Some associated functions: ddoublex . dhuber . pdens . pitman . smoothm . smpsi . 
Some associated R codes: smhuber.R .  Full smoothmest package functions and examples
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