<?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>michal0091.r-universe.dev</title><link>https://michal0091.r-universe.dev</link><description>Recent package updates in michal0091</description><generator>R-universe</generator><image><url>https://github.com/michal0091.png</url><title>R packages by michal0091</title><link>https://michal0091.r-universe.dev</link></image><lastBuildDate>Thu, 11 Jun 2026 20:29:31 GMT</lastBuildDate><item><title>[michal0091] MacroFilters 0.2.1</title><author>michal.kinel@gmail.com (Michal Kinel)</author><description>Provides high-performance tools for macroeconomic trend
extraction and filtering, specifically designed to solve the
end-point problem in real-time. Implements the MacroBoost
Hybrid (MBH) filter using penalized P-splines and gradient
boosting. Unlike the standard Hodrick-Prescott filter,
'MacroFilters' utilizes component-wise L2-boosting with robust
loss functions (Huber) to handle extreme transient shocks
(e.g., COVID-19) without inducing spurious trend shifts. The
algorithm includes an automated two-layer diagnostic stage for
unit roots and structural breaks, optimized via corrected AICc
for computational efficiency. Methodology detailed in Kinel
(2026) &lt;doi:10.2139/ssrn.6371138&gt;.</description><link>https://github.com/r-universe/michal0091/actions/runs/29147259725</link><pubDate>Thu, 11 Jun 2026 20:29:31 GMT</pubDate><r:package>MacroFilters</r:package><r:version>0.2.1</r:version><r:status>success</r:status><r:repository>https://michal0091.r-universe.dev</r:repository><r:upstream>https://github.com/michal0091/macrofilters</r:upstream><r:article><r:source>tuning_mbh.Rmd</r:source><r:filename>tuning_mbh.html</r:filename><r:title>Hyperparameter Tuning for the MacroBoost Hybrid Filter</r:title><r:created>2026-03-17 22:42:06</r:created><r:modified>2026-06-11 19:28:35</r:modified></r:article><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to MacroFilters</r:title><r:created>2026-02-24 18:44:30</r:created><r:modified>2026-06-11 19:28:35</r:modified></r:article><r:article><r:source>real_time_revisions.Rmd</r:source><r:filename>real_time_revisions.html</r:filename><r:title>Solving the End-Point Problem in Real-Time</r:title><r:created>2026-03-17 22:42:06</r:created><r:modified>2026-06-11 19:28:35</r:modified></r:article><r:article><r:source>uncertainty_bands.Rmd</r:source><r:filename>uncertainty_bands.html</r:filename><r:title>Uncertainty Bands via Block Bootstrap</r:title><r:created>2026-05-31 19:07:56</r:created><r:modified>2026-05-31 19:07:56</r:modified></r:article></item></channel></rss>