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reda (version 0.2.1)

Recurrent Event Data Analysis

Description

Functions that fit gamma frailty model with spline or piecewise constant baseline rate function for recurrent event data, compute and plot parametric mean cumulative function (MCF) from a fitted model as well as nonparametric sample MCF (Nelson-Aalen estimator) are provided. Most functions are S4 methods that produce S4 class objects.

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Version

Install

install.packages('reda')

Monthly Downloads

613

Version

0.2.1

License

GPL (>= 3)

Issues

0

Pull Requests

0

Stars

16

Forks

7

Maintainer

Wenjie Wang

Last Published

November 28th, 2015

Functions in reda (0.2.1)

mcf

Mean Cumulative Function (MCF)
summaryRateReg-class

An S4 Class to Represent Summary of a Fitted Model
baseRate

Estimated Coefficients of Baseline Rate Function
AIC,rateReg-method

Akaike Information Criterion (AIC)
rateReg-class

An S4 Class to Represent a Fitted Model
simuDat

Simulated Sample Dataset for Demonstration
confint,rateReg-method

Confidence Intervals for Covariate Coefficients
rateRegMcf-class

An S4 Class to Respresent Estimated MCF from a Fitted Model
coef,rateReg-method

Estimated Coefficients of Covariates
reda-package

Recurrent Event Data Analysis
show-method

Show an object.
BIC,rateReg-method

Bayesian Information Criterion (BIC)
sampleMcf-class

An S4 Class to Represent Sample MCF
rateReg

Fit Recurrent Events Regression Based on Counts and Rate Function
Survr

Formula Response for Recurrent Event Data
summary,rateReg-method

Summarizing a Fitted Model
plotMcf

Plot Mean Cumulative Function (MCF)