Package: BsplineQuantReg
Type: Package
Title: 'Constrained Quantile Regression with B-Splines'
Version: 0.2.5
Date: 2026-07-26
Authors@R: person("Alexandre", "Abbes", email = "alexandre.abbes@proton.me", role = c("aut", "cre"))
Description: Quantile regression with B-splines under shape constraints.
    The initial version with cubic splines is now augmented with splines
    of degree 1 to 4. Constraints for degrees 3 (monotone) and 4
    (monotone and convex) use the Karlin-Studden SOCP characterization
    for the sign of the polynomial, while other constraints applied
    at the knots are added as linear problems. The method for cubic
    splines is described in 'Abbes (2026)' <doi:10.5281/zenodo.17427913>.
    Other formulations are simple consequences of the other given
    references. All B-spline and polynomial functions have been
    rewritten for consistency. This package provides an original
    B-spline library for conversion between PP-form and B-spline
    representation, evaluation, differentiation, callable and
    non-callable objects, print human readable pp forms, view basis,
    all based on "De Boor\'s" theory. It also
    extends to multiple knots to catch up singularities. This feature is
    robust in the package including for constrained regression.
    This R implementation is intended for demonstration
    and prototyping. An equivalent Python package is available
    at <https://pypi.org/project/BsplineQuantRegpy/>.
License: GPL-3
URL: https://github.com/alexandreabbes/BsplineQuantReg
BugReports: https://github.com/alexandreabbes/BsplineQuantReg/issues
Depends: R (>= 3.5.0)
Imports: CVXR, ECOSolveR, utils
Suggests: clarabel, cobs, quantreg, knitr, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-08-19 22:42:39 UTC; abbes
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>
Repository: CRAN
Date/Publication: 2026-08-20 10:32:14 UTC
