Learn R Programming

reda

CRAN_Status_Badge Build Status codecov

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

License

GNU General Public License (≥ 3)

Copy Link

Version

Install

install.packages('reda')

Monthly Downloads

613

Version

0.5.5

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Wenjie Wang

Last Published

June 14th, 2025

Functions in reda (0.5.5)

is.Recur

Is the xect from the Recur class?
mcfDiff.test-class

An S4 Class Representing the Two-Sample Pseudo-Score Test Results
simEvent-class

An S4 Class for Simulated Recurrent Event or Survival Times
simEvent

Simulated Survival times or Recurrent Events
mcf

Mean Cumulative Function (MCF)
mcfDiff-class

An S4 Class Representing Sample MCF Difference
mcf.rateReg-class

An S4 Class Respresenting Estimated MCF from a Fitted Model
plot-method

Plot Baseline Rate or Mean Cumulative Function (MCF)
mcf.formula-class

An S4 Class Representing Sample MCF
reda-package

Recurrent Event Data Analysis
show-method

Show an object.
rateReg-class

An S4 Class Representing a Fitted Model
parametrize

Parametrizations of Covariates and Covariate Coefficients
summary,rateReg-method

Summarizing a Fitted Model
simuDat

Simulated Sample Dataset for Demonstration
summary,Recur-method

Summarize an Recur object
summary.Recur-class

An S4 Class for Summarized Recur Object
rateReg

Recurrent Events Regression Based on Counts and Rate Function
summary.rateReg-class

An S4 Class Representing Summary of a Fitted Model
valveSeats

Valve Seats Dataset
Recur-class

An S4 Class Representing Formula Response for Recurrent Event Data
Survr

Formula Response for Recurrent Event Data
Recur-to

Recurrent Episodes
baseRate.rateReg-class

An S4 Class Representing Estimated Baseline Rate Function
baseRate

Estimated Baseline Rate Function
BIC,rateReg-method

Bayesian Information Criterion (BIC)
AIC,rateReg-method

Akaike Information Criterion (AIC)
check_Recur

Checks for Recurrent Event Data
coef,rateReg-method

Estimated Coefficients of Covariates
confint,rateReg-method

Confidence Intervals for Covariate Coefficients
Recur

Formula Response for Recurrent Event Data
Survr-class

An S4 Class Representing Formula Response
as.character,Recur-method

Convert An Recur Object to A Character Vector
mcfDiff

Comparing Two-Sample MCFs