Package: eventTrack 1.0.3
eventTrack: Event Prediction for Time-to-Event Endpoints
Implements the hybrid framework for event prediction described in Fang & Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival function the event prediction is based on, a piecewise exponential hazard function is fit to the time-to-event data to infer the potential change points. Prior to the last identified change point, the survival function is estimated using Kaplan-Meier, and the tail after the change point is fit using piecewise exponential.
Authors:
eventTrack_1.0.3.tar.gz
eventTrack_1.0.3.zip(r-4.5)eventTrack_1.0.3.zip(r-4.4)eventTrack_1.0.3.zip(r-4.3)
eventTrack_1.0.3.tgz(r-4.4-any)eventTrack_1.0.3.tgz(r-4.3-any)
eventTrack_1.0.3.tar.gz(r-4.5-noble)eventTrack_1.0.3.tar.gz(r-4.4-noble)
eventTrack_1.0.3.tgz(r-4.4-emscripten)eventTrack_1.0.3.tgz(r-4.3-emscripten)
eventTrack.pdf |eventTrack.html✨
eventTrack/json (API)
NEWS
| # Install 'eventTrack' in R: |
| install.packages('eventTrack', repos = c('https://numbersman77.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:0b66c01e66. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:bootstrapTimeToEventbootSurvivalSampleexactDatesFromMonthshybrid_ExponentialkaplanMeier_at_t0lambda_j_ExppiecewiseExp_MLEpiecewiseExp_profile_loglik_taupiecewiseExp_test_changepointpredictEventspredictEventsUncond
