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BsplineQuantReg  

'Constrained Quantile Regression with 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", "0.2.5")



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 B-Splines'. R package version 0.2.5, https://cran.r-project.org/web/packages/BsplineQuantReg. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.0 (2026-06-23 15:50), 0.2.0 (2026-07-21 19:30), 0.2.1 (2026-07-24 23:40), 0.2.2 (2026-07-28 15:20), (2026-08-20 12:32)
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Complete documentation for BsplineQuantReg
Functions, R codes and Examples using the BsplineQuantReg R package
Full BsplineQuantReg package functions and examples
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