QuantileRegression package based on SciPy optimization routines.
Project description
Quantile Regression
This repository is for Python implementations of basic Quantile Regression routines.
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.
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.
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