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>.

Package details

AuthorWenjie Wang [aut, cre] (<https://orcid.org/0000-0003-0363-3180>), Haoda Fu [aut], Sy Han (Steven) Chiou [ctb], Jun Yan [ctb] (<https://orcid.org/0000-0003-4401-7296>)
MaintainerWenjie Wang <wang@wwenjie.org>
LicenseGPL (>= 3)
Version0.5.4
URL https://wwenjie.org/reda https://github.com/wenjie2wang/reda
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("reda")

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reda documentation built on July 9, 2022, 1:06 a.m.