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SIHR: Statistical Inference in High Dimensional Regression
The goal of SIHR is to provide inference procedures in the high-dimensional generalized linear regression setting for: (1) linear functionals <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2) conditional average treatment effects, (3) quadratic functionals <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.
Getting started
Browse package contents
Package details |
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| Author | Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre] |
| Maintainer | Zijian Guo <zijguo@stat.rutgers.edu> |
| License | GPL-3 |
| Version | 2.1.0 |
| URL | https://zywang0701.github.io/SIHR/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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