'Constrained Quantile Regression with Cubic B-Splines' R package BsplineQuantReg version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: CVXR Suggests: cobs,quantreg,pracma Alexandre Abbes <alexandre.abbes@proton.me> Comprehensive R Archive Network (CRAN) Alexandre Abbes [aut, cre] GPL-3 2026-06-23 application/tgz https://CRAN.R-project.org/package=BsplineQuantReg doi:10.32614/CRAN.package.BsplineQuantReg