CRAN/E | SIHR

SIHR

Statistical Inference in High Dimensional Regression

Installation

About

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.

Citation SIHR citation info
zywang0701.github.io/SIHR/
Bug report File report

Key Metrics

Version 2.1.0
Published 2024-04-24 4 days ago
Needs compilation? no
License GPL-3
CRAN checks SIHR results

Downloads

Yesterday 14 -69%
Last 7 days 129 +65%
Last 30 days 314 +15%
Last 90 days 852 -12%
Last 365 days 3.384 -5%

Maintainer

Maintainer

Zijian Guo

zijguo@stat.rutgers.edu

Authors

Zhenyu Wang

aut

Prabrisha Rakshit

aut

Tony Cai

aut

Zijian Guo

aut / cre

Material

README
Reference manual
Package source

Vignettes

Quick Start to SIHR
Intro of Methods
Intro of Usage

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SIHR archive

Imports

CVXR
glmnet
stats

Suggests

knitr
rmarkdown
R.rsp

Reverse Imports

MaximinInfer