Quantile regression with cubic B-splines under monotonicity and convexity constraints using the Karlin-Studden SOCP formulation. The method is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. This R implementation is intended for demonstration and prototyping; all B-spline and polynomial functions have been rewritten for consistency. A faster version written in 'Python' is available at <https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | CVXR |
| Suggests: | cobs, quantreg, pracma |
| Published: | 2026-06-23 |
| DOI: | 10.32614/CRAN.package.BsplineQuantReg (may not be active yet) |
| Author: | Alexandre Abbes [aut, cre] |
| Maintainer: | Alexandre Abbes <alexandre.abbes at proton.me> |
| BugReports: | https://github.com/alexandreabbes/BsplineQuantReg/issues |
| License: | GPL-3 |
| URL: | https://github.com/alexandreabbes/BsplineQuantReg, https://doi.org/10.5281/zenodo.17427913 |
| NeedsCompilation: | no |
| Citation: | BsplineQuantReg citation info |
| Materials: | README |
| CRAN checks: | BsplineQuantReg results |
| Reference manual: | BsplineQuantReg.html , BsplineQuantReg.pdf |
| Package source: | BsplineQuantReg_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): BsplineQuantReg_0.1.0.tgz, r-oldrel (arm64): BsplineQuantReg_0.1.0.tgz, r-release (x86_64): BsplineQuantReg_0.1.0.tgz, r-oldrel (x86_64): BsplineQuantReg_0.1.0.tgz |
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