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The optimal level of significance is calculated based on a decision-theoretic approach. The optimal level is chosen so that the expected loss from hypothesis testing is minimized. A range of statistical tests are covered, including the test for the population mean, population proportion, and a linear restriction in a multiple regression model. The details are covered in Kim and Choi (2020) <doi:10.1111/abac.12172>, and Kim (2021) <doi:10.1080/00031305.2020.1750484>.
Package details |
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Author | Jae H. Kim <jaekim8080@gmail.com> |
Maintainer | Jae H. Kim <jaekim8080@gmail.com> |
License | GPL-2 |
Version | 2.2 |
Package repository | View on CRAN |
Installation |
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