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reReg (version 1.4.1)

Recurrent Event Regression

Description

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. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) , Huang and Wang (2004) , Xu et al. (2017) , and Xu et al. (2019) 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.

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Install

install.packages('reReg')

Monthly Downloads

422

Version

1.4.1

License

GPL (>= 3)

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Maintainer

Sy Chiou

Last Published

September 16th, 2021

Functions in reReg (1.4.1)

Recur

The Recur function is imported from reda.
plotEvents.control

Plot options for plotEvents
plot.Recur

Produce Event Plot or Mean Cumulative Function Plot
mcf.formula-class

The mcf.formula class is imported from reda.
mcf

The mcf function is imported from reda.
Recur-class

The Recur class is imported from reda.
Recur-pipe

The %to% function is imported from reda
plot.reReg

Plot the Baseline Cumulative Rate Function and the Baseline Cumulative Hazard Function
plotEvents

Produce Event Plots
basebind

Function used to combine baseline functions in one plot
plotHaz

Plot the Baseline Cumulative Hazard Function for the Terminal Time
summary.Recur-class

The summary.Recur class is imported from reda.
simGSC

Function to generate simulated recurrent event data
plotRate

Plotting the Baseline Cumulative Rate Function for the Recurrent Event Process
reReg

Fits Semiparametric Regression Models for Recurrent Event Data
reReg-package

reReg: Recurrent Event Regression
residuals.reReg

Calculate Residuals for a `reReg' Fit
simDat

Simulated dataset for demonstration
reSurv

Create an reSurv Object
reReg.control

Package options for reReg