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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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=SIHRto link to this page.


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