Package: resilience 2025.1.1

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 (2024), Biostatistics 25(4): 1094-1111.

Authors:Ravi Varadhan [aut, cre], Jiafeng Zhu [ctb]

resilience_2025.1.1.tar.gz
resilience_2025.1.1.zip(r-4.7)resilience_2025.1.1.zip(r-4.6)resilience_2025.1.1.zip(r-4.5)
resilience_2025.1.1.tgz(r-4.6-any)resilience_2025.1.1.tgz(r-4.5-any)
resilience_2025.1.1.tar.gz(r-4.7-any)resilience_2025.1.1.tar.gz(r-4.6-any)
resilience_2025.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
resilience/json (API)

# Install 'resilience' in R:
install.packages('resilience', repos = c('https://rvaradhan.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • tkr.dat - Example dataset for pre-post resilience analysis

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 6 scripts 184 downloads 2 exports 64 dependencies

Last updated from:8293846fcc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK190
linux-release-x86_64OK143
macos-release-arm64OK88
macos-oldrel-arm64OK115
windows-develOK68
windows-releaseOK71
windows-oldrelOK74
wasm-releaseOK110

Exports:prepostprepost_mi

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondoParalleldplyrforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnptestnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr