Package: eventTrack 1.0.4

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:Kaspar Rufibach [aut, cre]

eventTrack_1.0.4.tar.gz
eventTrack_1.0.4.zip(r-4.7)eventTrack_1.0.4.zip(r-4.6)eventTrack_1.0.4.zip(r-4.5)
eventTrack_1.0.4.tgz(r-4.6-any)eventTrack_1.0.4.tgz(r-4.5-any)
eventTrack_1.0.4.tar.gz(r-4.7-any)eventTrack_1.0.4.tar.gz(r-4.6-any)
eventTrack_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
eventTrack/json (API)
NEWS

# Install 'eventTrack' in R:
install.packages('eventTrack', repos = c('https://numbersman77.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 2 scripts 201 downloads 11 exports 4 dependencies

Last updated from:d47485bbb5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK211
linux-release-x86_64OK125
macos-release-arm64OK103
macos-oldrel-arm64OK118
windows-develOK96
windows-releaseOK90
windows-oldrelOK90
wasm-releaseOK101

Exports:bootstrapTimeToEventbootSurvivalSampleexactDatesFromMonthshybrid_ExponentialkaplanMeier_at_t0lambda_j_ExppiecewiseExp_MLEpiecewiseExp_profile_loglik_taupiecewiseExp_test_changepointpredictEventspredictEventsUncond

Dependencies:latticeMatrixmuhazsurvival

Event tracking: predict analysis timepoints for ongoing clinical trials

Rendered fromeventTrack.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2025-02-22
Started: 2021-05-10