<?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>desouzalab.r-universe.dev</title><link>https://desouzalab.r-universe.dev</link><description>Recent package updates in desouzalab</description><generator>R-universe</generator><image><url>https://github.com/desouzalab.png</url><title>R packages by desouzalab</title><link>https://desouzalab.r-universe.dev</link></image><lastBuildDate>Tue, 14 Apr 2026 21:07:02 GMT</lastBuildDate><item><title>[desouzalab] fda.vi 1.0.0</title><author>camila.souza@uwo.ca (Camila de Souza)</author><description>Implements a variational Expectation-Maximization (VEM)
algorithm for smoothing one or multiple functional observations
via basis function selection. The algorithm estimates all model
parameters simultaneously and automatically, while accounting
for within-curve correlation. The approach provides a flexible
and computationally efficient framework for smoothing
correlated functional data.</description><link>https://github.com/r-universe/desouzalab/actions/runs/27903864057</link><pubDate>Tue, 14 Apr 2026 21:07:02 GMT</pubDate><r:package>fda.vi</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://desouzalab.r-universe.dev</r:repository><r:upstream>https://github.com/desouzalab/fda.vi</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to fda.vi</r:title><r:created>2026-04-14 15:49:12</r:created><r:modified>2026-04-14 15:49:12</r:modified></r:article></item></channel></rss>