Package: OptSig
Type: Package
Title: Optimal Level of Significance for Regression and Other
        Statistical Tests
Version: 2.2
Imports: pwr
Date: 2022-06-29
Author: Jae H. Kim <jaekim8080@gmail.com>
Maintainer: Jae H. Kim <jaekim8080@gmail.com>
Description: 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>. 
License: GPL-2
NeedsCompilation: no
Packaged: 2022-07-03 03:23:48 UTC; jh808
Repository: CRAN
Date/Publication: 2022-07-03 12:30:14 UTC
Built: R 4.6.0; ; 2026-04-25 12:02:35 UTC; unix
