Package: tipse 2.1
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.
Authors:
tipse_2.1.tar.gz
tipse_2.1.zip(r-4.7-any)tipse_2.1.zip(r-4.6-any)tipse_2.1.zip(r-4.5-any)
tipse_2.1.tgz(r-4.6-any)tipse_2.1.tgz(r-4.5-any)
tipse_2.1.tar.gz(r-4.7-any)tipse_2.1.tar.gz(r-4.6-any)
tipse_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tipse/json (API)
| # Install 'tipse' in R: |
| install.packages('tipse', repos = c('https://openpharma.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/openpharma/tipse/issues
- codebreak200 - Patient level data from dummy trial
- extenet - Patient level data from dummy trial
Last updated from:2fd8f197e0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 189 | ||
| source / vignettes | OK | 242 | ||
| linux-release | OK | 190 | ||
| macos-release | OK | 150 | ||
| macos-oldrel | OK | 128 | ||
| windows-devel | OK | 146 | ||
| windows-release | OK | 135 | ||
| windows-oldrel | OK | 140 | ||
| wasm-release | OK | 132 |
Exports:assess_plausibilityimpute_landmarkimpute_modelimpute_percentilepool_resultstipping_point_model_basedtipping_point_model_free
Dependencies:base64encbslibcachemclicpp11digestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemimepillarpkgconfigpurrrR6rappdirsRColorBrewerrlangrmarkdownS7sassscalessurvivaltibbletidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assess Clinical Plausibility of Imputation Results | assess_plausibility |
| Patient level data from dummy trial | codebreak200 |
| Patient level data from dummy trial | extenet |
| Model-free imputation via landmark sampling | impute_landmark |
| Model-based imputation from parametric distributions | impute_model |
| Model-free imputation via percentile sampling | impute_percentile |
| Plot Pooled Kaplan–Meier Curves from Tipping Point Analysis | plot.tipse |
| Pooling results using Rubin's Rule | pool_results |
| Summarize Tipping Point Results (ARD Format) | summary.tipse |
| Tipping Point Analysis (Model-Based) | tipping_point_model_based |
| Tipping Point Analysis (Model-Free) | tipping_point_model_free |