<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Leakage Detection for Environmental Sensor Data</dc:title>
  <dc:title>R package sensorLeak version 0.1.0</dc:title>
  <dc:description>Provides tools for identifying potential information leakage
    and validation risks in machine learning workflows using environmental
    sensor data. The package includes checks for temporal ordering, shared
    sensors, spatial proximity, and overlapping temporal windows. The
    diagnostics are motivated by considerations of spatial and temporal
    structure in model validation (Roberts et al., 2017)
    &lt;doi:10.1111/ecog.02881&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Divya Umai Raja &lt;iamuayvid@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Divya Umai Raja [aut, cre, cph],
  Sanjana Sujil [aut, cph]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=sensorLeak/LICENSE)</dc:rights>
  <dc:date>2026-09-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sensorLeak</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sensorLeak</dc:identifier>
</oai_dc:dc>
