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To cite the ConstrainedQuantileSplines package in publications, please use:
Abbes A (2026). R code for Quantile Regression with Bspline under Shape Constraints. R package version 0.1.0, https://github.com/alexandreabbes/BsplineQuantReg.
Abbes A (2025). “Quantile regression with cubic polynomial splines under shape constraints with applications.” zenodo. doi:10.5281/zenodo.17427913. https://doi.org/10.5281/zenodo.17427913.
Abbes A (2026). Python code for quantile regression with polynomial splines under shape constraints.. Python version code of the R package BsplineQuantReg, with nice tk interface, and multiple constraints, https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines.
Corresponding BibTeX entries:
@Manual{,
title = {R code for Quantile Regression with Bspline under Shape
Constraints},
author = {Alexandre Abbes},
year = {2026},
note = {R package version 0.1.0},
url = {https://github.com/alexandreabbes/BsplineQuantReg},
}
@Article{,
journal = {zenodo},
title = {Quantile regression with cubic polynomial splines under
shape constraints with applications},
author = {Alexandre Abbes},
year = {2025},
doi = {10.5281/zenodo.17427913},
url = {https://doi.org/10.5281/zenodo.17427913},
}
@Manual{,
title = {Python code for quantile regression with polynomial
splines under shape constraints.},
author = {Alexandre Abbes},
year = {2026},
note = {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},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.