<?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>khaledfouda.r-universe.dev</title><link>https://khaledfouda.r-universe.dev</link><description>Recent package updates in khaledfouda</description><generator>R-universe</generator><image><url>https://github.com/khaledfouda.png</url><title>R packages by khaledfouda</title><link>https://khaledfouda.r-universe.dev</link></image><lastBuildDate>Thu, 02 Jul 2026 18:00:09 GMT</lastBuildDate><item><title>[khaledfouda] IMR 1.0.0</title><author>khaled.fouda@hec.ca (Khaled Fouda)</author><description>A framework for matrix completion and regression on
response matrices with missing values. The model estimates
missing entries using any combination of intercepts, row and
column covariates, and a low-rank matrix approximation. It
applies Lasso penalties on the covariates and a nuclear norm
penalty on the low-rank component. It also adjusts for
correlation within the rows and columns of the target matrix
using similarity matrices. The framework is described in Fouda,
Labbe and Oualkacha (2026) &lt;doi:10.48550/arXiv.2606.26325&gt;.</description><link>https://github.com/r-universe/khaledfouda/actions/runs/29145463059</link><pubDate>Thu, 02 Jul 2026 18:00:09 GMT</pubDate><r:package>IMR</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://khaledfouda.r-universe.dev</r:repository><r:upstream>https://github.com/khaledfouda/imr</r:upstream><r:article><r:source>IMR.Rmd</r:source><r:filename>IMR.html</r:filename><r:title>Incomplete Matrix Regression (IMR) Vignette</r:title><r:created>2026-04-14 00:07:07</r:created><r:modified>2026-07-01 17:35:39</r:modified></r:article></item></channel></rss>