Skip to main content

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.

Release files for QuantileRegression 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for QuantileRegression 0.1.5
File Size Uploaded
quantileregression-0.1.5.tar.gz 5.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for QuantileRegression 0.1.5
File Interpreter ABI Platform
QuantileRegression-0.1.5-py3-none-any.whl Python 3 none any Details

Total release size: 11.3 kB

Release files / quantileregression-0.1.5.tar.gz

Download URL quantileregression-0.1.5.tar.gz
Size 5.6 kB
Tags Source
SHA-256 checksum
How to use checksums
4c7beda7f9063a3afb8f1b78b0490a3e4985646a0eea340e0a84349571e28b2e
BLAKE2b-256 checksum
How to use checksums
c075a6ae9d18ef04ec5d1a7f8891fde37154a87a9785b210d8370a0c5658424c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.2

Release files / QuantileRegression-0.1.5-py3-none-any.whl

Download URL QuantileRegression-0.1.5-py3-none-any.whl
Size 5.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4c6517e3fad9b3e50fca1633424537054a0e45eb5af141acc051d2a8fa97f474
BLAKE2b-256 checksum
How to use checksums
4ab9c7a815cff18467916f3b3b2da9e151e20ba808f2433b1658b3c83cfafb31
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.12.2

Release history Release notifications | RSS feed

This release

0.1.5 This release

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page