<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Optimal Level of Significance for Regression and Other
Statistical Tests</dc:title>
  <dc:title>R package OptSig version 2.2</dc:title>
  <dc: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) &lt;doi:10.1111/abac.12172&gt;, and Kim (2021) &lt;doi:10.1080/00031305.2020.1750484&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: pwr</dc:relation>
  <dc:creator>Jae H. Kim &lt;jaekim8080@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Jae H. Kim &lt;jaekim8080@gmail.com&gt;</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-07-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OptSig</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OptSig</dc:identifier>
</oai_dc:dc>
