<?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>Physics-Informed Neural Networks for Progressive Censoring</dc:title>
  <dc:title>R package PINNProgCens version 0.1.0</dc:title>
  <dc:description>Implementation of Physics-Informed Neural Networks ('PINN') for lifetime estimation under progressive Type-II censoring schemes. Combines parametric baseline hazards with physical differential degradation models.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: deSolve, stats</dc:relation>
  <dc:creator>Okechukwu J. Obulezi &lt;oj.obulezi@unizik.edu.ng&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Okechukwu J. Obulezi [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PINNProgCens/LICENSE)</dc:rights>
  <dc:date>2026-08-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PINNProgCens</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PINNProgCens</dc:identifier>
</oai_dc:dc>
