Semi-Parametric Quantile Regression
Overview
Methods for flexible estimation of conditional density and quantile function, as well as model agnostic tools for analyzing quantile covariate effect and variable importance. The estimation method implements the semi-parametric quantile regression model described in Xu and Reich (2021) doi:10.1111/biom.13576, and the model agnostic tools extend accumulative local effects (ALE) to quantile regression setting.
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Documentation
- Help pages
- 18 (1 internal)includes a package overview page
- Examples that run
- 6%1 run in a plain check · 16 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 92%
- Documented parameters
- 100%
- Return-value docs
- 92%
- Help pages citing references
- 6%
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Code & Tests
People & History
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-08-19email to the maintainer is undeliverable
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-05-02
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-05-02
- Total releases
- 1 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.6
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