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:
smoothmest_0.1-3.tar.gz
smoothmest_0.1-3.zip(r-4.7-any)smoothmest_0.1-3.zip(r-4.6-any)smoothmest_0.1-3.zip(r-4.5-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f5ec2dd159. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 112 | ||
| source / vignettes | OK | 161 | ||
| linux-release | OK | 108 | ||
| macos-release | OK | 162 | ||
| macos-oldrel | OK | 178 | ||
| windows-devel | OK | 179 | ||
| windows-release | OK | 56 | ||
| windows-oldrel | OK | 63 | ||
| wasm-release | OK | 89 |
Exports:ddoublexdensdhuberedhuberflikcauchylikcauchymbisquaremlcauchypdenspitmanpsicauchypsidcauchyrdoublexrhubersdenssehubersmbisquaresmbpsismbpsidsmbpsidismbpsiismcauchysmcipsismcipsidsmcpsismcpsidsmhubersmoothmsmpmedsmpsismtfcauchy
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The double exponential (Laplace) distribution | ddoublex rdoublex |
| Huber's least favourable distribution | dhuber edhuber rhuber |
| Auxiliary functions for pitman | dens pdens sdens |
| Pitman location estimator | pitman |
| Smoothed and unsmoothed 1-d location M-estimators | mbisquare mlcauchy sehuber smbisquare smcauchy smhuber smoothm |
| Auxiliary functions for smoothm | flikcauchy likcauchy psicauchy psidcauchy smbpsi smbpsid smbpsidi smbpsii smcipsi smcipsid smcpsi smcpsid smpmed smpsi smtfcauchy |