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eventTrack
View on CRAN: Click
here
Download and install eventTrack package within the R console
Install from CRAN:
install.packages("eventTrack")
Install from Github:
library("remotes")
install_github("cran/eventTrack") Install by package version:
library("remotes")
install_version("eventTrack", "1.0.4") Attach the package and use:
library("eventTrack")
Maintained by
Kaspar Rufibach
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-10
Latest Update: 2025-02-22
Description:
Implements the hybrid framework for event prediction described in Fang & Zheng (2011, ). 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.
How to cite:
Kaspar Rufibach (2021). eventTrack: Event Prediction for Time-to-Event Endpoints. R package version 1.0.4, https://cran.r-project.org/web/packages/eventTrack. Accessed 09 Oct. 2026.
Previous versions and publish date:
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Complete documentation for eventTrack
Functions, R codes and Examples using
the eventTrack R package
Some associated functions: bootSurvivalSample . bootstrapTimeToEvent . eventTrack-package . exactDatesFromMonths . hybrid_Exponential . kaplanMeier_at_t0 . lambda_j_Exp . piecewiseExp_MLE . piecewiseExp_profile_loglik_tau . piecewiseExp_test_changepoint . predictEvents . predictEventsUncond .
Some associated R codes: Full eventTrack package functions and examples
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