<?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>amjed-droid.r-universe.dev</title><link>https://amjed-droid.r-universe.dev</link><description>Recent package updates in amjed-droid</description><generator>R-universe</generator><image><url>https://github.com/amjed-droid.png</url><title>R packages by amjed-droid</title><link>https://amjed-droid.r-universe.dev</link></image><lastBuildDate>Wed, 14 Oct 2026 01:07:32 GMT</lastBuildDate><item><title>[amjed-droid] spconform 0.1.2</title><author>ahmed.state.me@gmail.com (Ahmed Sattar Jabbar)</author><description>Provides distribution-free, model-agnostic prediction
intervals for spatially and spatio-temporally dependent data
using localized conformal calibration. Implements locally
weighted split conformal prediction for geostatistical
(point-referenced) data based on spatial-distance kernels, and
a neighbourhood-weighted conformal procedure for areal
(lattice) data based on graph adjacency structures. Relaxes the
standard exchangeability assumption using spatial proximity,
following the localized conformal framework of Mao, Martin and
Reich (2024) &lt;doi:10.1080/01621459.2022.2147531&gt;. Includes
comprehensive spatial diagnostic tools to audit empirical
coverage, conditional spatial strata, and boundary proximity
effects.</description><link>https://github.com/r-universe/amjed-droid/actions/runs/38499824083</link><pubDate>Wed, 14 Oct 2026 01:07:32 GMT</pubDate><r:package>spconform</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://amjed-droid.r-universe.dev</r:repository><r:upstream>https://github.com/amjed-droid/spconform</r:upstream><r:article><r:source>getting-help.Rmd</r:source><r:filename>getting-help.html</r:filename><r:title>Getting Help and Troubleshooting</r:title><r:created>2026-09-24 13:30:48</r:created><r:modified>2026-10-14 01:02:49</r:modified></r:article><r:article><r:source>spconform-intro.Rmd</r:source><r:filename>spconform-intro.html</r:filename><r:title>Introduction to spconform: Spatial and Spatio-Temporal Conformal Prediction</r:title><r:created>2026-09-24 13:30:48</r:created><r:modified>2026-09-24 13:30:48</r:modified></r:article></item></channel></rss>