Tipping Point Analysis for Survival Endpoints R package tipse version 2.0 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. Software Depends: R (>= 3.5) Imports: MASS, ggplot2, survival, dplyr, stats, utils, knitr, purrr, rmarkdown Suggests: testthat (>= 3.0.0) Ajmal Oodally <ajmal.oodally@novartis.com> Comprehensive R Archive Network (CRAN) Ajmal Oodally [cre, aut] (ORCID: <https://orcid.org/0000-0001-8143-5011>), Craig Wang [aut] (ORCID: <https://orcid.org/0000-0003-1804-2463>), Zheng Li [ctb] (ORCID: <https://orcid.org/0000-0002-7655-0290>) GPL (>= 3) 2026-05-12 application/tgz https://CRAN.R-project.org/package=tipse doi:10.32614/CRAN.package.tipse