crt_dt: Clustered Recurrent-Time Dataset: crt_dt

In WAreg: While-Alive Regression for Composite Endpoints with Cluster-Robust Inference

Clustered Recurrent-Time Dataset: crt_dt

Description

A simulated dataset of clustered recurrent events with terminal/censoring outcomes and covariates, suitable for examples and tests.

Usage

data(crt_dt)

Format

A data frame with the following columns:

id

Integer subject ID (within the whole sample).

cluster

Integer cluster ID.

time

Numeric event/censoring time.

status

Integer event type indicator: 0 = censored, 1 = recurrent type 1, 2 = recurrent type 2, 3 = death (terminal).

trt

Cluster-level treatment indicator carried to subjects (e.g., 0/1).

Z1

Numeric covariate.

Z2

Numeric covariate.

Details

Rows represent observed events (including censoring and death) for each subject. Multiple rows per id indicate multiple recurrent events; terminal/censoring rows mark the end of observation for that subject.

Source

Generated by the package's simulation utilities.

Examples

data(crt_dt)
head(crt_dt)

WAreg documentation built on March 6, 2026, 5:07 p.m.