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SPQR: Semi-Parametric Quantile Regression
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.
Getting started
Browse package contents
Package details |
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| Author | Steven Xu [aut, cre], Reetam Majumder [aut], Brian Reich [ctb] |
| Maintainer | Steven Xu <sgxu@ncsu.edu> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://github.com/stevengxu/SPQR |
| Package repository | View on CRAN |
| Installation |
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