<?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>mijeong-kim.r-universe.dev</title><link>https://mijeong-kim.r-universe.dev</link><description>Recent package updates in mijeong-kim</description><generator>R-universe</generator><image><url>https://github.com/mijeong-kim.png</url><title>R packages by mijeong-kim</title><link>https://mijeong-kim.r-universe.dev</link></image><lastBuildDate>Thu, 04 Jun 2026 23:24:33 GMT</lastBuildDate><item><title>[mijeong-kim] inferMM 0.0.3</title><author>m.kim@ewha.ac.kr (Mijeong Kim)</author><description>Variance-aware Michaelis-Menten estimation, model
screening, grouped enzyme-kinetic analyses, and clustered
repeated-measurement workflows. The package implements
profile-score estimators under working variance functions,
together with a lightweight cluster-aware working-covariance
extension, Wald and bootstrap confidence intervals, prediction
utilities, and simulation helpers. Related methodology is
discussed by Kim and Ma (2012) &lt;doi:10.1007/s10463-011-0332-y&gt;,
Kim (2023) &lt;doi:10.1002/sta4.606&gt;, and Ma and Genton (2010)
&lt;doi:10.1111/j.1467-9868.2010.00741.x&gt;.</description><link>https://github.com/r-universe/mijeong-kim/actions/runs/41423298550</link><pubDate>Thu, 04 Jun 2026 23:24:33 GMT</pubDate><r:package>inferMM</r:package><r:version>0.0.3</r:version><r:status>success</r:status><r:repository>https://mijeong-kim.r-universe.dev</r:repository><r:upstream>https://github.com/mijeong-kim/infermm</r:upstream><r:article><r:source>infer-mm-workflow.Rmd</r:source><r:filename>infer-mm-workflow.html</r:filename><r:title>A Workflow for Variance-Aware Michaelis-Menten Analysis</r:title><r:created>2026-05-13 06:53:07</r:created><r:modified>2026-06-04 23:19:30</r:modified></r:article></item></channel></rss>