Calculates the optimal level of significance based on a decisiontheoretic 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 DecisionTheoretic Approach, Abacus. See also Kim, Jae H., 2020, Decisiontheoretic hypothesis testing: A primer with R package OptSig, The American Statistician.
Package details 


Author  Jae H. Kim <J.Kim@latrobe.edu.au> 
Maintainer  Jae H. Kim <J.Kim@latrobe.edu.au> 
License  GPL2 
Version  2.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.