<?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>fatemehsarasir.r-universe.dev</title><link>https://fatemehsarasir.r-universe.dev</link><description>Recent package updates in fatemehsarasir</description><generator>R-universe</generator><image><url>https://github.com/fatemehsarasir.png</url><title>R packages by fatemehsarasir</title><link>https://fatemehsarasir.r-universe.dev</link></image><lastBuildDate>Tue, 14 Jul 2026 16:30:09 GMT</lastBuildDate><item><title>[fatemehsarasir] circularNet 0.1.0</title><author>fsarasir@gmail.com (Fatemeh Sarasir)</author><description>Provides methods for estimating circular graphical models
using maximum likelihood estimation (MLE) and circular mean
squared error (CMSE) approaches. The package includes tools for
model fitting, network construction, network evaluation, and
visualization. The CMSE-based methodology is related to Dar
(2023) &lt;https://open.metu.edu.tr/handle/11511/102577&gt;. The
package supports both simulated circular data and real-world
applications, including gene-expression network analysis.</description><link>https://github.com/r-universe/fatemehsarasir/actions/runs/29405665157</link><pubDate>Tue, 14 Jul 2026 16:30:09 GMT</pubDate><r:package>circularNet</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://fatemehsarasir.r-universe.dev</r:repository><r:upstream>https://github.com/cran/circularNet</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to circularNet</r:title><r:created>2026-07-14 16:30:09</r:created><r:modified>2026-07-14 16:30:09</r:modified></r:article></item></channel></rss>