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tipse  

Tipping Point Analysis for Survival Endpoints
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tipse", "2.1")



Attach the package and use:
library("tipse")
Maintained by
Ajmal Oodally
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-19
Latest Update: 2025-12-19
Description:
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.
How to cite:
Ajmal Oodally (2025). tipse: Tipping Point Analysis for Survival Endpoints. R package version 2.1, https://cran.r-project.org/web/packages/tipse. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-08-21 11:20), 1.1 (2025-12-19 21:10), 1.2 (2026-01-16 13:30), 2.0 (2026-05-12 14:40)
Other packages that cited tipse R package
View tipse citation profile
Other R packages that tipse depends, imports, suggests or enhances
Complete documentation for tipse
Functions, R codes and Examples using the tipse R package
Full tipse package functions and examples
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