Package: SLCARE
Type: Package
Title: Semiparametric Latent Class Analysis for Recurrent Event
Version: 1.0.1
Authors@R: c(person(given = "Qi", family = "Yu",
	   email = "qi.yu2@emory.edu",
	   role = c("aut", "cre")),
	   person(given = "Limin", family = "Peng",
	   email = "lpeng@emory.edu", role = "aut"))
Maintainer: Qi Yu <qi.yu2@emory.edu>
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/qyxxx/SLCARE, http://www.metaknight.us/SLCARE/
BugReports: https://github.com/qyxxx/SLCARE/issues
Imports: dplyr, tidyr, ggplot2, reReg, nnet
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-10-12 03:03:45 UTC; qiyu
Author: Qi Yu [aut, cre],
  Limin Peng [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2023-10-12 03:20:02 UTC
Built: R 4.2.0; ; 2023-10-13 08:28:09 UTC; unix
