Package: SIHR
Type: Package
Title: Statistical Inference in High Dimensional Regression
Version: 2.0.1
Author: Prabrisha Rakshit, Zhenyu Wang, Tony Cai, Zijian Guo
Maintainer: Zijian Guo <zijguo@stat.rutgers.edu>
Description: The goal of SIHR is to provide inference procedures in the high-dimensional setting for 
    (1) linear functionals in generalized linear regression ('Cai et al.' (2019) <arXiv:1904.12891>, 'Guo et al.' (2020) <arXiv:2012.07133>, 'Cai et al.' (2021)),
    (2) conditional average treatment effects in generalized linear regression,
    (3) quadratic functionals in generalized linear regression ('Guo et al.' (2019) <arXiv:1909.01503>).
    (4) inner product in generalized linear regression
    (5) distance in generalized linear regression.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
URL: https://github.com/prabrishar1/SIHR
Imports: CVXR, glmnet, stats
NeedsCompilation: no
Packaged: 2023-04-09 04:01:52 UTC; zw425
Repository: CRAN
Date/Publication: 2023-04-09 16:50:02 UTC
Built: R 4.1.2; ; 2023-04-10 11:08:17 UTC; unix
