<?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>Predictors of Resilience to a Stressor in a Single-Arm Study</dc:title>
  <dc:title>R package resilience version 2025.1.1</dc:title>
  <dc:description>Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2024), Biostatistics 25(4): 1094-1111.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 4.0.0), parallel, doParallel, foreach</dc:relation>
  <dc:relation>Imports: stats, mice, nptest</dc:relation>
  <dc:creator>Ravi Varadhan &lt;ravi.varadhan@jhu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ravi Varadhan [aut, cre],
  Jiafeng Zhu [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-12-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=resilience</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.resilience</dc:identifier>
</oai_dc:dc>