<?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>mtakagishi0.r-universe.dev</title><link>https://mtakagishi0.r-universe.dev</link><description>Recent package updates in mtakagishi0</description><generator>R-universe</generator><image><url>https://github.com/mtakagishi0.png</url><title>R packages by mtakagishi0</title><link>https://mtakagishi0.r-universe.dev</link></image><lastBuildDate>Tue, 21 Jul 2026 07:20:02 GMT</lastBuildDate><item><title>[mtakagishi0] mccca 2.4</title><author>m.takagishi0728@gmail.com (Mariko Takagishi)</author><description>Provides functions for performing multiple-class cluster
correspondence analysis(MCCCA). The main functions are
create.MCCCAdata() to create a list to be applied to MCCCA,
MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA
result. Methods used in the package are described in Mariko
Takagishi and Michel van de Velden
(2022)&lt;doi:10.1080/10618600.2022.2035737&gt;.</description><link>https://github.com/r-universe/mtakagishi0/actions/runs/39935515256</link><pubDate>Tue, 21 Jul 2026 07:20:02 GMT</pubDate><r:package>mccca</r:package><r:version>2.4</r:version><r:status>success</r:status><r:repository>https://mtakagishi0.r-universe.dev</r:repository><r:upstream>https://github.com/cran/mccca</r:upstream></item></channel></rss>