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-4.5)robustlm_0.1.0.zip(r-4.4)robustlm_0.1.0.zip(r-4.3)
robustlm_0.1.0.tgz(r-4.4-any)robustlm_0.1.0.tgz(r-4.3-any)
robustlm_0.1.0.tar.gz(r-4.5-noble)robustlm_0.1.0.tar.gz(r-4.4-noble)
robustlm_0.1.0.tgz(r-4.4-emscripten)robustlm_0.1.0.tgz(r-4.3-emscripten)
robustlm.pdf |robustlm.html✨
robustlm/json (API)
NEWS
| # 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 4 years agofrom:9466704112. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
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 |
