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