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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 |
Maintainer: | Wenjie Wang <wang at wwenjie.org> |
BugReports: | https://github.com/wenjie2wang/reda/issues |
License: | GPL (≥ 3) |
URL: | https://wwenjie.org/reda, https://github.com/wenjie2wang/reda |
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: reda_0.5.4.zip, r-release: reda_0.5.4.zip, r-oldrel: reda_0.5.4.zip |
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 imports: | reReg, SLCARE |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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