<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>martin2002-ux.r-universe.dev</title><link>https://martin2002-ux.r-universe.dev</link><description>Recent package updates in martin2002-ux</description><generator>R-universe</generator><image><url>https://github.com/martin2002-ux.png</url><title>R packages by martin2002-ux</title><link>https://martin2002-ux.r-universe.dev</link></image><lastBuildDate>Thu, 17 Sep 2026 09:30:09 GMT</lastBuildDate><item><title>[martin2002-ux] latentState 1.0.0</title><author>martinibenada@gmail.com (Martin Benada)</author><description>Simulates outcomes of an updated version of the latent
state reinforcement learning model originally described in
Cochran and Cisler (2019) &lt;doi:10.1371/journal.pcbi.1007331&gt;.
The package is designed to create results under all reasonable
experiment setups, including different reinforcement schedules,
number of cues, number of phases, and number of options per
trial. Participants can be simulated using either fixed
parameters or parameters drawn from a distribution.</description><link>https://github.com/r-universe/martin2002-ux/actions/runs/35327008777</link><pubDate>Thu, 17 Sep 2026 09:30:09 GMT</pubDate><r:package>latentState</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://martin2002-ux.r-universe.dev</r:repository><r:upstream>https://github.com/cran/latentState</r:upstream></item></channel></rss>