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To cite rqPen in publications use:
Sherwood B, Li S, Maidman A (2025). “rqPen: An R Package for Penalized Quantile Regression.” The R Journal, 17(2), 146-175. doi:10.32614/RJ-2025-017.
If using lasso with Huber approximation, the default for rq.pen and rq.pen.cv, please also cite:
Yi C, Huang J (2017). “Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression.” Journal of Computational and Graphical Statistics, 26(3), 547-557. doi:10.1080/10618600.2016.1256816.
If using group lasso with Huber approximation, the default in rq.group.pen and rq.group.pen.cv, please also cite:
Sherwood B, Li S (2022). “Quantile regression feature selection and estimation with grouped variables using Huber approximation.” Statistics and Computing, 32(5), 75. doi:10.1007/s11222-022-10135-w.
Corresponding BibTeX entries:
@Article{,
title = {rqPen: An R Package for Penalized Quantile Regression},
author = {Ben Sherwood and Shaobo Li and Adam Maidman},
journal = {The R Journal},
year = {2025},
volume = {17},
number = {2},
pages = {146-175},
doi = {10.32614/RJ-2025-017},
}
@Article{,
title = {Semismooth Newton Coordinate Descent Algorithm for
Elastic-Net Penalized Huber Loss Regression and Quantile
Regression},
author = {Congrui Yi and Jian Huang},
journal = {Journal of Computational and Graphical Statistics},
year = {2017},
volume = {26},
number = {3},
pages = {547-557},
doi = {10.1080/10618600.2016.1256816},
}
@Article{,
title = {Quantile regression feature selection and estimation with
grouped variables using Huber approximation},
author = {Ben Sherwood and Shaobo Li},
journal = {Statistics and Computing},
year = {2022},
volume = {32},
number = {5},
pages = {75},
doi = {10.1007/s11222-022-10135-w},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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