resilience: Predictors of Resilience to a Stressor in a Single-Arm Study

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 (2023), Biostatistics (To appear).

Version: 2023.1.1
Depends: R (≥ 3.5.0), nptest, parallel, doParallel, foreach
Published: 2023-08-22
Author: Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]
Maintainer: Ravi Varadhan <ravi.varadhan at jhu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: resilience results

Documentation:

Reference manual: resilience.pdf

Downloads:

Package source: resilience_2023.1.1.tar.gz
Windows binaries: r-devel: resilience_2023.1.1.zip, r-release: resilience_2023.1.1.zip, r-oldrel: resilience_2023.1.1.zip
macOS binaries: r-release (arm64): resilience_2023.1.1.tgz, r-oldrel (arm64): resilience_2023.1.1.tgz, r-release (x86_64): resilience_2023.1.1.tgz
Old sources: resilience archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=resilience to link to this page.