2 research outputs found
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
We introduce the R package \CRANpkg{SIHR} for statistical inference in
high-dimensional generalized linear models with continuous and binary outcomes.
The package provides functionalities for constructing confidence intervals and
performing hypothesis tests for low-dimensional objectives in both one-sample
and two-sample regression settings. We illustrate the usage of \CRANpkg{SIHR}
through numerical examples and present real data applications to demonstrate
the package's performance and practicality