<?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>cgeraldes.r-universe.dev</title><link>https://cgeraldes.r-universe.dev</link><description>Recent package updates in cgeraldes</description><generator>R-universe</generator><image><url>https://github.com/cgeraldes.png</url><title>R packages by cgeraldes</title><link>https://cgeraldes.r-universe.dev</link></image><lastBuildDate>Sun, 15 Mar 2026 20:01:27 GMT</lastBuildDate><item><title>[cgeraldes] BTWAR 1.0.1</title><author>cgeraldes@gmail.com (Carlos Bras-Geraldes)</author><description>Implements the Butterworth-Induced Autoregressive
('BTWAR') model, where autoregressive coefficients are obtained
from analog Butterworth filter prototypes mapped into the
discrete-time domain using the Matched Z-Transform. The
framework establishes a structured connection between
frequency-domain filter design and time-domain autoregressive
modeling. Model order selection is performed via nested
rolling-origin cross-validation. Method described in
Bras-Geraldes, Rocha and Martins (2026)
&lt;doi:10.3390/math14030479&gt;.</description><link>https://github.com/r-universe/cgeraldes/actions/runs/26155367067</link><pubDate>Sun, 15 Mar 2026 20:01:27 GMT</pubDate><r:package>BTWAR</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://cgeraldes.r-universe.dev</r:repository><r:upstream>https://github.com/cgeraldes/btwar</r:upstream><r:article><r:source>BTWAR.Rmd</r:source><r:filename>BTWAR.html</r:filename><r:title>Introduction to the BTWAR Package</r:title><r:created>2026-03-01 13:56:31</r:created><r:modified>2026-03-15 04:08:59</r:modified></r:article></item></channel></rss>