Recurrent Event Regression
Function used to combine baseline functions in one plot
Produce Event Plot or Mean Cumulative Function Plot
Plot the Baseline Cumulative Rate Function and the Baseline Cumulative...
Plot options for plotEvents
Produce Event Plots
Plot the Baseline Cumulative Hazard Function for the Terminal Time
Plotting the Baseline Cumulative Rate Function for the Recurrent Event...
Objects exported from other packages
reReg: Recurrent Event Regression
Package options for reReg
Fits Semiparametric Regression Models for Recurrent Event Data
Calculate Residuals for a `reReg' Fit
Create an reSurv Object
Function to generate simulated recurrent event data
A comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events, with or without the presence of a (possibly) informative terminal event described in Chiou et al. (2023) <doi:10.18637/jss.v105.i05>. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> as special cases. The implemented estimating procedure does not require any parametric assumption on the frailty distribution. The package also allows the users to specify different model forms for both the recurrent event process and the terminal event.