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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "BsplineQuantReg" in publications use:'
type: software
license: GPL-3.0-only
title: 'BsplineQuantReg: ''Constrained Quantile Regression with Cubic B-Splines'''
version: 0.1.0
abstract: Quantile regression with cubic B-splines under monotonicity and convexity
  constraints using the Karlin-Studden SOCP formulation. The method is described in
  Abbes (2026) <https://doi.org/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>.
authors:
- family-names: Abbes
  given-names: Alexandre
  email: alexandre.abbes@proton.me
preferred-citation:
  type: manual
  title: R code for Quantile Regression with Bspline under Shape Constraints
  authors:
  - family-names: Abbes
    given-names: Alexandre
    email: alexandre.abbes@proton.me
  year: '2026'
  notes: R package version 0.1.0
  url: https://github.com/alexandreabbes/BsplineQuantReg
repository: https://cran.r-universe.dev
repository-code: https://github.com/alexandreabbes/BsplineQuantReg
commit: 493e11b6a5468019d1332fdb114e2ba7584e15ca
url: https://doi.org/10.5281/zenodo.17427913
date-released: '2026-06-01'
contact:
- family-names: Abbes
  given-names: Alexandre
  email: alexandre.abbes@proton.me
references:
- type: article
  title: Quantile regression with cubic polynomial splines under shape constraints
    with applications
  authors:
  - family-names: Abbes
    given-names: Alexandre
  journal: zenodo
  year: '2025'
  doi: 10.5281/zenodo.17427913
  url: https://doi.org/10.5281/zenodo.17427913
- type: manual
  title: Python code for quantile regression with polynomial splines under shape constraints.
  authors:
  - family-names: Abbes
    given-names: Alexandre
  year: '2026'
  notes: Python version code of the R package BsplineQuantReg, with nice tk interface,
    and multiple constraints
  url: https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines