<?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>kinsprideduah.r-universe.dev</title><link>https://kinsprideduah.r-universe.dev</link><description>Recent package updates in kinsprideduah</description><generator>R-universe</generator><image><url>https://github.com/kinsprideduah.png</url><title>R packages by kinsprideduah</title><link>https://kinsprideduah.r-universe.dev</link></image><lastBuildDate>Fri, 22 May 2026 02:09:52 GMT</lastBuildDate><item><title>[kinsprideduah] BMEmapping 1.2.2.9000</title><author>kinspride2020@gmail.com (Kinspride Duah)</author><description>Provides an accessible and robust implementation of core
BME methodologies for spatial prediction. It enables the
systematic integration of heterogeneous data sources including
both hard data (precise measurements) and soft interval data
(bounded or uncertain observations) while incorporating prior
knowledge and supporting variogram-based spatial modeling. The
BME methodology is described in Christakos (1990)
&lt;doi:10.1007/BF00890661&gt;, Serre and Christakos (1999)
&lt;doi:10.1007/s004770050029&gt; and Duah (2025, 2026)
&lt;doi:10.1016/j.spasta.2026.100974&gt;.</description><link>https://github.com/r-universe/kinsprideduah/actions/runs/27896287761</link><pubDate>Fri, 22 May 2026 02:09:52 GMT</pubDate><r:package>BMEmapping</r:package><r:version>1.2.2.9000</r:version><r:status>success</r:status><r:repository>https://kinsprideduah.r-universe.dev</r:repository><r:upstream>https://github.com/kinsprideduah/bmemapping</r:upstream><r:article><r:source>Introduction_to_BMEmapping.Rmd</r:source><r:filename>Introduction_to_BMEmapping.html</r:filename><r:title>Introduction to BMEmapping</r:title><r:created>2025-03-18 08:25:11</r:created><r:modified>2026-05-22 00:25:00</r:modified></r:article></item></channel></rss>