<?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>kx-liu.r-universe.dev</title><link>https://kx-liu.r-universe.dev</link><description>Recent package updates in kx-liu</description><generator>R-universe</generator><image><url>https://github.com/kx-liu.png</url><title>R packages by kx-liu</title><link>https://kx-liu.r-universe.dev</link></image><lastBuildDate>Wed, 21 Oct 2026 15:58:50 GMT</lastBuildDate><item><title>[kx-liu] MMEFM 0.1.1</title><author>k.liu31@lse.ac.uk (Kaixin Liu)</author><description>Provides estimation, rank selection, and simulation for
grouped matrix-valued time series using the Multilevel Main
Effects Matrix Factor Model. The model separates global and
local grand means, row and column main effects, and bilinear
interaction components, allowing nonstationary main effects
under suitable conditions. A circular-shift bootstrap is used
to detect a shared global common component and screen
participating groups on a stationary segment. The underlying
methodology is developed in Liu, Lam and Cen (2026)
&lt;doi:10.48550/arXiv.2610.18335&gt;.</description><link>https://github.com/r-universe/kx-liu/actions/runs/41836454057</link><pubDate>Wed, 21 Oct 2026 15:58:50 GMT</pubDate><r:package>MMEFM</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://kx-liu.r-universe.dev</r:repository><r:upstream>https://github.com/kx-liu/mmefm</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting started with MMEFM</r:title><r:created>2026-10-08 10:13:54</r:created><r:modified>2026-10-21 15:47:18</r:modified></r:article></item></channel></rss>