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reReg: Recurrent Event Regression

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 described in Chiou et al. (2023) <doi:10.18637/jss.v105.i05>. The modeling framework is based on a joint frailty scale-change model, that includes models described in Wang et al. (2001) <doi:10.1198/016214501753209031>, Huang and Wang (2004) <doi:10.1198/016214504000001033>, Xu et al. (2017) <doi:10.1080/01621459.2016.1173557>, and Xu et al. (2019) <doi:10.5705/SS.202018.0224> 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.

Version: 1.4.7
Depends: R (≥ 4.2.0)
Imports: BB, nleqslv, dfoptim, optimx, SQUAREM, survival, directlabels, ggplot2, MASS, methods, reda (≥ 0.5.0), scam, Rcpp, rootSolve
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-10-07
DOI: 10.32614/CRAN.package.reReg
Author: Sy Han (Steven) Chiou [aut, cre], Chiung-Yu Huang [aut]
Maintainer: Sy Han (Steven) Chiou <schiou at smu.edu>
BugReports: https://github.com/stc04003/reReg/issues
License: GPL (≥ 3)
URL: https://github.com/stc04003/reReg
NeedsCompilation: yes
Citation: reReg citation info
Materials: NEWS
In views: Survival
CRAN checks: reReg results

Documentation:

Reference manual: reReg.pdf

Downloads:

Package source: reReg_1.4.7.tar.gz
Windows binaries: r-devel: reReg_1.4.7.zip, r-release: reReg_1.4.7.zip, r-oldrel: reReg_1.4.7.zip
macOS binaries: r-release (arm64): reReg_1.4.7.tgz, r-oldrel (arm64): reReg_1.4.7.tgz, r-release (x86_64): reReg_1.4.7.tgz, r-oldrel (x86_64): reReg_1.4.7.tgz
Old sources: reReg archive

Reverse dependencies:

Reverse imports: SLCARE

Linking:

Please use the canonical form https://CRAN.R-project.org/package=reReg to link to this page.

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.