Quick Start | Boston Housing Price Dataset | References
Package: robustlm 0.1.0
robustlm: Robust Variable Selection with Exponential Squared Loss
Computationally efficient tool for performing variable selection and obtaining robust estimates, which implements robust variable selection procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013) <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal, consistent, and oracle properties of the procedures.
Authors:
robustlm_0.1.0.tar.gz
robustlm_0.1.0.zip(r-4.7-any)robustlm_0.1.0.zip(r-4.6-any)robustlm_0.1.0.zip(r-4.5-any)
robustlm_0.1.0.tgz(r-4.6-any)robustlm_0.1.0.tgz(r-4.5-any)
robustlm_0.1.0.tar.gz(r-4.7-any)robustlm_0.1.0.tar.gz(r-4.6-any)
robustlm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
robustlm/json (API)
| # Install 'robustlm' in R: |
| install.packages('robustlm', repos = c('https://mamba413.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:9466704112. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 118 | ||
| source / vignettes | OK | 181 | ||
| linux-release | OK | 96 | ||
| macos-release | OK | 132 | ||
| macos-oldrel | OK | 147 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 67 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 106 |
Exports:robustlm
Dependencies:MASSmatrixStats
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Provides estimated coefficients from a fitted "robustlm" object. | coef.robustlm |
| Make predictions from a "robustlm" object. | predict.robustlm |
| Print method for a "robustlm" object | print.robustlm |
| Robust variable selection with exponential squared loss | robustlm |