Recurrent Event Data Analysis

Contains implementations of recurrent event data analysis routines including (1) survival and recurrent event data simulation from stochastic process point of view by the thinning method proposed by Lewis and Shedler (1979) and the inversion method introduced in Cinlar (1975, ISBN:978-0486497976), (2) the mean cumulative function (MCF) estimation by the Nelson-Aalen estimator of the cumulative hazard rate function, (3) two-sample recurrent event responses comparison with the pseudo-score tests proposed by Lawless and Nadeau (1995) , (4) gamma frailty model with spline rate function following Fu, et al. (2016) .

reda

Overview

The R package reda provides functions for

• simulating survival, recurrent event, and multiple event data from stochastic process point of view;
• exploring and modeling recurrent event data through the mean cumulative function (MCF) by the Nelson-Aalen estimator of the cumulative hazard rate function, and gamma frailty model with spline rate function;
• comparing two-sample recurrent event responses with the pseudo-score tests.

Installation of CRAN Version

You can install the released version from CRAN.

install.packages("reda")

Development

The latest version of the package is under development at GitHub. If it is able to pass the automated package checks, one may install it by

if (! require(remotes)) install.packages("remotes")
remotes::install_github("wenjie2wang/reda", upgrade = "never")

Getting Started

Online documentation provides function documentations and includes package vignettes for

• exploring and modeling recurrent event data.
• introduction to formula response function Recur()
• simulating survival and recurrent event data.

License

GNU General Public License (≥ 3)