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SIHR  

Statistical Inference in High Dimensional Regression
View on CRAN: Click here


Download and install SIHR package within the R console
Install from CRAN:
install.packages("SIHR")

Install from Github:
library("remotes")
install_github("cran/SIHR")

Install by package version:
library("remotes")
install_version("SIHR", "2.1.0")



Attach the package and use:
library("SIHR")
Maintained by
Zijian Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-14
Latest Update: 2023-04-09
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) <doi:10.48550/arXiv.1904.12891>, 'Guo et al.' (2020) <doi:10.48550/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) <doi:10.48550/arXiv.1909.01503>). (4) inner product in generalized linear regression (5) distance in generalized linear regression.
How to cite:
Zijian Guo (2021). SIHR: Statistical Inference in High Dimensional Regression. R package version 2.1.0, https://cran.r-project.org/web/packages/SIHR. Accessed 01 Feb. 2025.
Previous versions and publish date:
0.1.0 (2021-06-14 10:40), 0.2.0 (2021-10-07 10:00), 1.0.0 (2022-07-25 20:50), 1.0.1 (2022-08-10 09:30), 1.1.0 (2022-09-26 19:50), 2.0.0 (2023-04-06 11:03), 2.0.1 (2023-04-09 18:50)
Other packages that cited SIHR R package
View SIHR citation profile
Other R packages that SIHR depends, imports, suggests or enhances
Complete documentation for SIHR
Functions, R codes and Examples using the SIHR R package
Some associated functions: ITE . LF . QF . ci.ITE . ci.LF . ci.QF . ci . print.summary.ITE . print.summary.LF . print.summary.QF . summary.ITE . summary.LF . summary.QF . 
Some associated R codes: ITE.R . LF.R . Methods.R . QF.R . check.R . helpers.R .  Full SIHR package functions and examples
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