<?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>renan-estatistica.r-universe.dev</title><link>https://renan-estatistica.r-universe.dev</link><description>Recent package updates in renan-estatistica</description><generator>R-universe</generator><image><url>https://github.com/renan-estatistica.png</url><title>R packages by renan-estatistica</title><link>https://renan-estatistica.r-universe.dev</link></image><lastBuildDate>Mon, 31 May 2021 19:22:13 GMT</lastBuildDate><item><title>[renands] RMLPCA 0.0.1</title><author>renansantosbarbosa@usp.br (Renan Santos Barbosa)</author><description>R implementation of Maximum Likelihood Principal Component
Analysis The main idea of this package is to have an
alternative way of PCA for subspace modeling that considers
measurement errors. More details can be found in Peter D.
Wentzell (2009) &lt;doi:10.1016/B978-0-444-64165-6.03029-9&gt;.</description><link>https://github.com/r-universe/renands/actions/runs/39230800992</link><pubDate>Mon, 31 May 2021 19:22:13 GMT</pubDate><r:package>RMLPCA</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://renands.r-universe.dev</r:repository><r:upstream>https://github.com/renands/rmlpca</r:upstream></item></channel></rss>