Package: smoothmest 0.1-3

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.

Authors:Christian Hennig <[email protected]>

smoothmest_0.1-3.tar.gz
smoothmest_0.1-3.zip(r-4.7)smoothmest_0.1-3.zip(r-4.6)smoothmest_0.1-3.zip(r-4.5)
smoothmest_0.1-3.tgz(r-4.6-any)smoothmest_0.1-3.tgz(r-4.5-any)
smoothmest_0.1-3.tar.gz(r-4.7-any)smoothmest_0.1-3.tar.gz(r-4.6-any)
smoothmest_0.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
smoothmest/json (API)

# Install 'smoothmest' in R:
install.packages('smoothmest', repos = c('https://chrhennig.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.96 score 3 packages 101 scripts 418 downloads 1 mentions 31 exports 1 dependencies

Last updated from:f5ec2dd159. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK97
source / vignettesOK151
linux-release-x86_64OK93
macos-release-arm64OK110
macos-oldrel-arm64OK90
windows-develOK64
windows-releaseOK79
windows-oldrelOK54
wasm-releaseOK96

Exports:ddoublexdensdhuberedhuberflikcauchylikcauchymbisquaremlcauchypdenspitmanpsicauchypsidcauchyrdoublexrhubersdenssehubersmbisquaresmbpsismbpsidsmbpsidismbpsiismcauchysmcipsismcipsidsmcpsismcpsidsmhubersmoothmsmpmedsmpsismtfcauchy

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
The double exponential (Laplace) distributionddoublex rdoublex
Huber's least favourable distributiondhuber edhuber rhuber
Auxiliary functions for pitmandens pdens sdens
Pitman location estimatorpitman
Smoothed and unsmoothed 1-d location M-estimatorsmbisquare mlcauchy sehuber smbisquare smcauchy smhuber smoothm
Auxiliary functions for smoothmflikcauchy likcauchy psicauchy psidcauchy smbpsi smbpsid smbpsidi smbpsii smcipsi smcipsid smcpsi smcpsid smpmed smpsi smtfcauchy