reda: 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) <doi:10.1002/nav.3800260304> 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) <doi:10.2307/1269617>, (4) gamma frailty model with spline rate function following Fu, et al. (2016) <doi:10.1080/10543406.2014.992524>.

Version: 0.5.4
Depends: R (≥ 3.2.3)
Imports: Rcpp, ggplot2, graphics, grDevices, methods, splines2 (≥ 0.4.3), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, tinytest
Published: 2022-07-08
DOI: 10.32614/CRAN.package.reda
Author: Wenjie Wang ORCID iD [aut, cre], Haoda Fu [aut], Sy Han (Steven) Chiou [ctb], Jun Yan ORCID iD [ctb]
Maintainer: Wenjie Wang <wang at>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: reda citation info
Materials: README NEWS
In views: Survival
CRAN checks: reda results


Reference manual: reda.pdf
Vignettes: Introduction to Formula Response Function Recur()
Introduction to reda through Examples
Simulate Survival and Recurrent Event Data with reda


Package source: reda_0.5.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): reda_0.5.4.tgz, r-oldrel (arm64): reda_0.5.4.tgz, r-release (x86_64): reda_0.5.4.tgz, r-oldrel (x86_64): reda_0.5.4.tgz
Old sources: reda archive

Reverse dependencies:

Reverse imports: reReg, SLCARE


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