Math::QuantileRegression

Raku package for basic Quantile Regression routines.

Installation

Make sure the Raku package "COIN-OR", [AAp1], is installed.

Install from Zef ecosystem:

zef install Math::QuantileRegression

From GitHub:

zef install https://github.com/antononcube/Raku-Math-QuantileRegression.git

References

Articles, books

[RK1] Roger Koenker, Quantile Regression, Cambridge University Press, 2005.

[RK2] Roger Koenker, "Quantile Regression in R: a vignette", (2006), CRAN.

[AA1] Anton Antonov, "A monad for Quantile Regression workflows", (2018), MathematicaForPrediction at GitHub.

Packages, paclets

[RKp1] Roger Koenker, quantreg, CRAN.

[AAp1] Anton Antonov, Quantile Regression, WL paclet, (2014-2023), GitHub/antononcube.

[AAp2] Anton Antonov, Monadic Quantile Regression, WL paclet, (2018-2024), GitHub/antononcube.

[AAp3] Anton Antonov, QuantileRegression, (2019), Wolfram Function Repository.

[AAp4] Anton Antonov, QuantileRegression, Python package, (2024), PyPI.org/antononcube.

Repositories

[AAr1] Anton Antonov, DSL::English::QuantileRegressionWorkflows in Raku, (2020), GitHub/antononcube.

Videos

[AAv1] Anton Antonov, "Boston useR! QuantileRegression Workflows 2019-04-18", (2019), Anton Antonov at YouTube.

[AAv2] Anton Antonov, "useR! 2020: How to simplify Machine Learning workflows specifications", (2020), R Consortium at YouTube.

[AAv3] Anton Antonov, "Quantile Regression Workflows (PyData Global 2024)", (2025), Anton Antonov at YouTube.