Statistical Inference in High Dimensional Regression R package SIHR version 2.1.1 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. Software Imports: CVXR, glmnet, stats Suggests: knitr, rmarkdown, R.rsp Zijian Guo <zijguo@stat.rutgers.edu> Comprehensive R Archive Network (CRAN) Zhenyu Wang [aut], Prabrisha Rakshit [aut], Tony Cai [aut], Zijian Guo [aut, cre] GPL-3 2026-03-23 application/tgz https://CRAN.R-project.org/package=SIHR doi:10.32614/CRAN.package.SIHR