Package: resilience 2024.1.2
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).
Authors:
resilience_2024.1.2.tar.gz
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resilience_2024.1.2.tgz(r-4.4-any)resilience_2024.1.2.tgz(r-4.3-any)
resilience_2024.1.2.tar.gz(r-4.5-noble)resilience_2024.1.2.tar.gz(r-4.4-noble)
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resilience.pdf |resilience.html✨
resilience/json (API)
| # Install 'resilience' in R: |
| install.packages('resilience', repos = c('https://rvaradhan.r-universe.dev', 'https://cloud.r-project.org')) |
- tkr.dat - Pre-post stressor response data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:cf50196390. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
| R-4.4-win | OK | Nov 21 2024 |
| R-4.4-mac | OK | Nov 21 2024 |
| R-4.3-win | OK | Nov 21 2024 |
| R-4.3-mac | OK | Nov 21 2024 |
Exports:prepost
Dependencies:codetoolsdoParallelforeachiteratorsnptest
