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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.

Version: 2.1.0 Imports: CVXR, glmnet, stats Suggests: knitr, rmarkdown, R.rsp Published: 2024-04-24 DOI: 10.32614/CRAN.package.SIHR Author: Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre] Maintainer: Zijian Guo <zijguo at stat.rutgers.edu> BugReports: https://github.com/zywang0701/SIHR/issues License: GPL-3 URL: https://zywang0701.github.io/SIHR/ NeedsCompilation: no Citation: SIHR citation info Materials: README CRAN checks: SIHR results Documentation: Reference manual: SIHR.pdf Vignettes: Quick Start to SIHR (source, R code)
Intro of Methods (source)
Intro of Usage (source)
Downloads: Package source: SIHR_2.1.0.tar.gz Windows binaries: r-devel: SIHR_2.1.0.zip, r-release: SIHR_2.1.0.zip, r-oldrel: SIHR_2.1.0.zip macOS binaries: r-release (arm64): SIHR_2.1.0.tgz, r-oldrel (arm64): SIHR_2.1.0.tgz, r-release (x86_64): SIHR_2.1.0.tgz, r-oldrel (x86_64): SIHR_2.1.0.tgz Old sources: SIHR archive Reverse dependencies: Reverse imports: MaximinInfer Linking:

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