Functions for setting up and analyzing event history data.

Event dataset repository including both real-life and artificial event logs. They can be used in combination with functionalities provided by the 'bupaR' packages. Janssenswillen et al. (2020) <http://ceur-ws.org/Vol-2703/paperTD7.pdf>.

A graphical user interface for open source event detection.

Detect events in time-series data. Combines multiple well-known R packages like 'forecast' and 'neuralnet' to deliver an easily configurable tool for multivariate event detection.

A user friendly, easy to understand way of doing event
    history regression for marginal estimands of interest,
    including the cumulative incidence and the restricted mean
    survival, using the pseudo observation framework for 
    estimation. For a review of the methodology, see Andersen and
    Pohar Perme (2010) <doi:10.1177/0962280209105020> or Sachs 
    and Gabriel (2022) <doi:10.18637/jss.v102.i09>. The
    interface uses the well known formulation of a generalized
    linear model and allows for features including plotting of 
    residuals, the use of sampling weights, and corrected
    variance estimation.

Functions for analysis of rate changes in sequential events.

Predicts enrollment and events at the design or analysis stage 
             using specified enrollment and time-to-event models through 
             simulations.

Predicts enrollment and events assumed enrollment and treatment-specific time-to-event models, and calculates test statistics for time-to-event data with cured population based on the simulation.Methods for prediction event in the existence of cured population are as described in : Chen, Tai-Tsang(2016) <doi:10.1186/s12874-016-0117-3>.

Diagnose, visualize, and aggregate event report 
    level data to the event level. Users provide an event report level 
    dataset, specify their aggregation rules, and the package produces a
    dataset aggregated at the event level. Also includes the Modes and 
    Agents of Election-Related Violence in Côte d'Ivoire and Kenya (MAVERICK) dataset,
    an event report level dataset that records all documented instances of 
    electoral violence from the first multiparty election to 2022 in 
    Côte d'Ivoire (1995-2022) and Kenya (1992-2022).