<?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>armanazizyan.r-universe.dev</title><link>https://armanazizyan.r-universe.dev</link><description>Recent package updates in armanazizyan</description><generator>R-universe</generator><image><url>https://github.com/armanazizyan.png</url><title>R packages by armanazizyan</title><link>https://armanazizyan.r-universe.dev</link></image><lastBuildDate>Wed, 27 May 2026 18:27:16 GMT</lastBuildDate><item><title>[armanazizyan] scanCP 0.1.0</title><author>arman.azizyan@gmail.com (Arman Azizyan)</author><description>Implementation of deep learning–based changepoint
detection algorithm designed for time series with smooth local
fluctuations. The method fits localized feed‑forward neural
networks to approximate the underlying smooth component and
constructs a residual‑based detector that isolates abrupt
structural changes. A fully data‑adaptive empirical cumulative
distribution function (ECDF) based thresholding rule and
refinement procedures yield accurate changepoint localization
without parametric assumptions on noise or trend structure.</description><link>https://github.com/r-universe/armanazizyan/actions/runs/26707225817</link><pubDate>Wed, 27 May 2026 18:27:16 GMT</pubDate><r:package>scanCP</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://armanazizyan.r-universe.dev</r:repository><r:upstream>https://github.com/armanazizyan/scancp</r:upstream></item></channel></rss>