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BsplineQuantReg  

'Constrained Quantile Regression with Cubic B-Splines'
View on CRAN: Click here


Download and install BsplineQuantReg package within the R console
Install from CRAN:
install.packages("BsplineQuantReg")

Install from Github:
library("remotes")
install_github("cran/BsplineQuantReg")

Install by package version:
library("remotes")
install_version("BsplineQuantReg", "0.1.0")



Attach the package and use:
library("BsplineQuantReg")
Maintained by
Alexandre Abbes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-23
Latest Update: 2026-06-23
Description:
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>.
How to cite:
Alexandre Abbes (2026). BsplineQuantReg: 'Constrained Quantile Regression with Cubic B-Splines'. R package version 0.1.0, https://cran.r-project.org/web/packages/BsplineQuantReg. Accessed 14 Jul. 2026.
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