Package: hqreg 1.4
Congrui Yi
hqreg: Regularization Paths for Lasso or Elastic-Net Penalized Huber Loss Regression and Quantile Regression
Efficient algorithms for fitting regularization paths for lasso or elastic-net penalized regression models with Huber loss, quantile loss or squared loss.
Authors:
hqreg_1.4.tar.gz
hqreg_1.4.tar.gz(r-4.5-noble)hqreg_1.4.tar.gz(r-4.4-noble)
hqreg_1.4.tgz(r-4.4-emscripten)hqreg_1.4.tgz(r-4.3-emscripten)
hqreg.pdf |hqreg.html✨
hqreg/json (API)
NEWS
| # Install 'hqreg' in R: |
| install.packages('hqreg', repos = c('https://cran.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 8 years agofrom:3dd311cec4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux-x86_64 | OK | Sep 10 2024 |
Exports:cv.hqreghqreghqreg_raw
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Regularization Paths for Lasso or Elastic-net Penalized Huber Loss Regression and Quantile Regression | hqreg-package |
| Cross-validation for hqreg | cv.hqreg |
| Fit a robust regression model with Huber or quantile loss penalized by lasso or elasti-net | hqreg |
| Fit a robust regression model on raw data with Huber or quantile loss penalized by lasso or elasti-net | hqreg_raw |
| Plot the cross-validation curve for a "cv.hqreg" object | plot.cv.hqreg |
| Plot coefficients from a "hqreg" object | plot.hqreg |
| Model predictions based on "cv.hqreg" object. | coef.cv.hqreg predict.cv.hqreg |
| Model predictions based on "hqreg" object. | coef.hqreg predict.hqreg |