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: 2026-07-11 06:26:03 UTC; root
Repository: https://jh8080.r-universe.dev
Date/Publication: 2022-07-03 11:30:14 UTC
RemoteUrl: https://github.com/cran/OptSig
RemoteRef: HEAD
RemoteSha: 2fbf7b2e65234a14d88d32245210faeb8c5164d2