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resilience  

Predictors of Resilience to a Stressor in a Single-Arm Study
View on CRAN: Click here


Download and install resilience package within the R console
Install from CRAN:
install.packages("resilience")

Install from Github:
library("remotes")
install_github("cran/resilience")

Install by package version:
library("remotes")
install_version("resilience", "2024.1.2")



Attach the package and use:
library("resilience")
Maintained by
Ravi Varadhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-06
Latest Update: 2023-08-22
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 (2023), Biostatistics (To appear).
How to cite:
Ravi Varadhan (2023). resilience: Predictors of Resilience to a Stressor in a Single-Arm Study. R package version 2024.1.2, https://cran.r-project.org/web/packages/resilience. Accessed 05 Jan. 2025.
Previous versions and publish date:
2023.1.0 (2023-07-06 20:40), 2023.1.1 (2023-08-22 23:50), 2024.1.1 (2024-07-07 04:10)
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Complete documentation for resilience
Functions, R codes and Examples using the resilience R package
Some associated functions: prepost . resilience-package . tkr.dat . 
Some associated R codes: pre-post-regression.R .  Full resilience package functions and examples
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