<?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>ikemillar.r-universe.dev</title><link>https://ikemillar.r-universe.dev</link><description>Recent package updates in ikemillar</description><generator>R-universe</generator><image><url>https://github.com/ikemillar.png</url><title>R packages by ikemillar</title><link>https://ikemillar.r-universe.dev</link></image><lastBuildDate>Wed, 22 Apr 2026 10:07:16 GMT</lastBuildDate><item><title>[ikemillar] CDSim 0.1.2</title><author>ikemillar65@gmail.com (Isaac Osei)</author><description>Generate synthetic station-based monthly climate
time-series including temperature and rainfall, export to
Network Common Data Form (NetCDF), and provide visualization
helpers for climate workflows. The approach is inspired by
statistical weather generator concepts described in Wilks
(1999) &lt;doi:10.1016/S0168-1923(99)00037-4&gt; and Richardson
(1981) &lt;doi:10.1029/WR017i001p00182&gt;.</description><link>https://github.com/r-universe/ikemillar/actions/runs/26278248581</link><pubDate>Wed, 22 Apr 2026 10:07:16 GMT</pubDate><r:package>CDSim</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://ikemillar.r-universe.dev</r:repository><r:upstream>https://github.com/ikemillar/cdsim</r:upstream><r:article><r:source>CDSim.Rmd</r:source><r:filename>CDSim.html</r:filename><r:title>Getting Started with CDSim</r:title><r:created>2026-04-22 09:58:49</r:created><r:modified>2026-04-22 09:58:49</r:modified></r:article></item><item><title>[ikemillar] OmicsPrepR 0.1.0</title><author>ikemillar65@gmail.com (Isaac Osei)</author><description>An integrated R package providing unified workflows for
quality control, normalization, and visualization of proteomic
and metabolomic data. The package simplifies preprocessing
through automated imputation, scaling, and PCA-based
exploratory analysis, enabling researchers to prepare omics
datasets efficiently for downstream statistical and machine
learning analyses.</description><link>https://github.com/r-universe/ikemillar/actions/runs/25655654464</link><pubDate>Sat, 01 Nov 2025 17:35:27 GMT</pubDate><r:package>OmicsPrepR</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://ikemillar.r-universe.dev</r:repository><r:upstream>https://github.com/ikemillar/omicsprepr</r:upstream></item></channel></rss>