R: Event Prediction for Time-to-Event Endpoints

# Event Prediction for Time-to-Event Endpoints

## Documentation for package ‘eventTrack’ version 1.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

eventTrack-package | Event Prediction for Time-to-Event Endpoints
bootstrapTimeToEvent | Bootstrap the predicted time when a given number of events is reached, for hybrid Exponential model
bootSurvivalSample | Bootstrap survival data
eventTrack | Event Prediction for Time-to-Event Endpoints
exactDatesFromMonths | Compute exact timepoint when a certain number of events is reached, based on monthly number of events
hybrid_Exponential | Estimate survival function, as hybrid between Kaplan-Meier and Exponential tail
kaplanMeier_at_t0 | Compute value of Kaplan-Meier estimate at a given time
lambda_j_Exp | Compute lambda_j
piecewiseExp_MLE | Estimate hazard function in piecewise Exponential survival model
piecewiseExp_profile_loglik_tau | Profile maximum log-likelihood function for change points in piecewise Exponential survival model
piecewiseExp_test_changepoint | Wald test to infer change point in piecewise Exponential survival model
predictEvents | Compute timepoint when a certain number of events in a time-to-event study is reached
predictEventsUncond | compute expected number of events based on a fixed survival function and with no recruited patients yet