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    <title>R on Tobias Fellinger&#39;s Personal Website</title>
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      <title>Some Experiences with Shinylive</title>
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      <pubDate>Sun, 20 Jul 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Shortly before we finished the first manuscript of our&#xA;&lt;a href=&#34;https://doi.org/10.1002/sim.70019&#34;&gt;paper&lt;/a&gt; &amp;ldquo;A Comparison of Statistical Methods&#xA;for Time-To-Event Analyses in Randomized Controlled Trials Under&#xA;Non-Proportional Hazards&amp;rdquo;, the first version of&#xA;&lt;a href=&#34;https://posit-dev.github.io/r-shinylive/&#34;&gt;shinylive&lt;/a&gt; for R was released. I had&#xA;already written a shiny-app to interactively browse the scenarios and simulation&#xA;results of our simulation study. This shiny app was hosted at Medical University&#xA;of Vienna with some limitations on availability and some maintenance overhead.&lt;/p&gt;&#xA;&lt;p&gt;The presentation of the results of a simulation study are the ideal candidate to&#xA;port the app to shinylive. The data are entirely public and also don&amp;rsquo;t change&#xA;after publication, so no server is needed to update the data or limit access to&#xA;users. The shinylive app can be hosted as static files on github pages (or&#xA;anywhere), with high availability and very little maintenance.&lt;/p&gt;&#xA;&lt;p&gt;So, despite the project of shinylive being quite young I ported our app to&#xA;shinylive. Here are some of the experiences I made.&lt;/p&gt;</description>
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