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tipse: Tipping Point Analysis for Survival Endpoints

Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.

Version: 1.1
Depends: R (≥ 3.5)
Imports: MASS, ggplot2, survival, dplyr, stats, utils, knitr, purrr, rmarkdown
Suggests: testthat (≥ 3.0.0)
Published: 2025-12-19
DOI: 10.32614/CRAN.package.tipse
Author: Ajmal Oodally ORCID iD [cre, aut], Craig Wang ORCID iD [aut], Zheng Li ORCID iD [ctb]
Maintainer: Ajmal Oodally <ajmal.oodally at novartis.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: tipse results

Documentation:

Reference manual: tipse.html , tipse.pdf
Vignettes: Tipping point analysis examples (source, R code)

Downloads:

Package source: tipse_1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: tipse_1.1.zip
macOS binaries: r-release (arm64): tipse_1.1.tgz, r-oldrel (arm64): tipse_1.1.tgz, r-release (x86_64): tipse_1.1.tgz, r-oldrel (x86_64): tipse_1.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.