SLCARE: Semiparametric Latent Class Analysis for Recurrent Event

An easy-to-use tool for latent class analysis for recurrent events. The modeling framework is based on the semiparametric multiplicative modeling in Zhao et al. (2022) <doi:10.1111/rssb.12499>. Our package provides an alternative method to define initial values in the estimation algorithm based on a joint frailty scale-change model described in Wang et al. (2001) <doi:10.1198/016214501753209031> and K-means. Users are also allowed to specify different initial values by themselves. Our package also provides an alternative algorithm to solving the estimating equation for unobservable latent class membership by fitting a "pseudo" weighted multinomial regression which speeds up the rate of convergence.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: dplyr, tidyr, ggplot2, reReg, nnet
Suggests: knitr, rmarkdown
Published: 2023-10-12
Author: Qi Yu [aut, cre], Limin Peng [aut]
Maintainer: Qi Yu <qi.yu2 at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: SLCARE results


Reference manual: SLCARE.pdf


Package source: SLCARE_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SLCARE_1.0.1.tgz, r-oldrel (arm64): SLCARE_1.0.1.tgz, r-release (x86_64): SLCARE_1.0.1.tgz, r-oldrel (x86_64): SLCARE_1.0.1.tgz
Old sources: SLCARE archive


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