<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>sample size | Jesper N. Wulff</title><link>https://jespernwulff.github.io/tags/sample-size/</link><atom:link href="https://jespernwulff.github.io/tags/sample-size/index.xml" rel="self" type="application/rss+xml"/><description>sample size</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Aug 2024 00:00:00 +0200</lastBuildDate><image><url>https://jespernwulff.github.io/media/icon_hu_c98bc1085d22e9da.png</url><title>sample size</title><link>https://jespernwulff.github.io/tags/sample-size/</link></image><item><title>alphaN</title><link>https://jespernwulff.github.io/software/alphan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://jespernwulff.github.io/software/alphan/</guid><description>&lt;p&gt;&lt;code&gt;alphaN&lt;/code&gt; implements the Bayesian–frequentist compromise from Wulff &amp;amp; Taylor (2024): it returns a sample-size-dependent significance threshold derived from Bayes factors, so that the alpha level shrinks as the sample grows. An interactive web app built on the same method lets users explore thresholds without writing code.&lt;/p&gt;
&lt;pre&gt;&lt;code&gt;install.packages(&amp;quot;alphaN&amp;quot;)
library(alphaN)
alphaN(n = 500)
&lt;/code&gt;&lt;/pre&gt;</description></item><item><title>How and Why Alpha Should Depend on Sample Size: A Bayesian-Frequentist Compromise for Significance Testing</title><link>https://jespernwulff.github.io/publication/alpha-sample-size-bayesian-compromise/</link><pubDate>Thu, 01 Aug 2024 00:00:00 +0200</pubDate><guid>https://jespernwulff.github.io/publication/alpha-sample-size-bayesian-compromise/</guid><description/></item></channel></rss>