SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models
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发表时间：
2021-09
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通讯作者：
Prabrisha Rakshit;Zhenyu Wang;T. Cai;Zijian Guo
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作者：
Prabrisha Rakshit;Zhenyu Wang;T. Cai;Zijian Guo
我们引入了R包\CRANpkg{SIHR}用于具有连续和二元结果的高维广义线性模型的统计推断。该软件包提供了在单样本和双样本回归设置中构建置信区间和执行低维目标假设检验的功能。我们通过数值示例说明了\CRANpkg{SIHR}的使用，并给出了实际数据应用，以演示该包的性能和实用性。
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.