Package: OptSig
Type: Package
Title: Optimal Level of Significance for Regression and Other
        Statistical Tests
Version: 2.1
Imports: pwr
Date: 2020-04-18
Author: Jae H. Kim <J.Kim@latrobe.edu.au>
Maintainer: Jae H. Kim <J.Kim@latrobe.edu.au>
Description: Calculates the optimal level of significance 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, Jae H. and Choi, In, 2020, Choosing the Level of Significance: A Decision-Theoretic Approach, Abacus.
        See also Kim, Jae H., 2020, Decision-theoretic hypothesis testing: A primer with R package OptSig, The American Statistician. 
License: GPL-2
NeedsCompilation: no
Packaged: 2020-04-18 07:04:20 UTC; jh808
Repository: CRAN
Date/Publication: 2020-04-18 07:40:18 UTC
Built: R 4.0.2; ; 2020-07-15 17:28:22 UTC; unix
