<?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>sisanchopancho.r-universe.dev</title><link>https://sisanchopancho.r-universe.dev</link><description>Recent package updates in sisanchopancho</description><generator>R-universe</generator><image><url>https://github.com/sisanchopancho.png</url><title>R packages by sisanchopancho</title><link>https://sisanchopancho.r-universe.dev</link></image><lastBuildDate>Mon, 29 Jun 2026 09:07:50 GMT</lastBuildDate><item><title>[sisanchopancho] TwoStepSDFM 0.3.0</title><author>franjic@uni-hohenheim.de (Domenic Franjic)</author><description>Estimate a sparse Gaussian state-space model with mixed
frequency data via sparse principal components analysis and the
Kalman filter and smoother. For more details see Franjic and
Schweikert (2024) &lt;doi:10.2139/ssrn.4733872&gt;.</description><link>https://github.com/r-universe/sisanchopancho/actions/runs/28366236879</link><pubDate>Mon, 29 Jun 2026 09:07:50 GMT</pubDate><r:package>TwoStepSDFM</r:package><r:version>0.3.0</r:version><r:status>success</r:status><r:repository>https://sisanchopancho.r-universe.dev</r:repository><r:upstream>https://github.com/sisanchopancho/twostepsdfm</r:upstream><r:article><r:source>IntroTwoStepSDFM.Rmd</r:source><r:filename>IntroTwoStepSDFM.html</r:filename><r:title>Introduction to TwoStepSDFM</r:title><r:created>2025-11-25 15:16:29</r:created><r:modified>2026-05-12 08:07:40</r:modified></r:article></item></channel></rss>