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:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	dplyr, tidyr, ggplot2, reReg, nnet
Suggests:	knitr, rmarkdown
Published:	2023-02-22
Author:	Qi Yu [aut, cre], Limin Peng [aut]
Maintainer:	Qi Yu <qi.yu2 at emory.edu>
BugReports:	https://github.com/qyxxx/SLCARE/issues
License:	GPL (≥ 3)
URL:	https://github.com/qyxxx/SLCARE, http://www.metaknight.us/SLCARE/
NeedsCompilation:	no
CRAN checks:	SLCARE results

Documentation:

Reference manual:

SLCARE.pdf

Downloads:

Package source:	SLCARE_1.0.0.tar.gz
Windows binaries:	r-devel: SLCARE_1.0.0.zip, r-release: SLCARE_1.0.0.zip, r-oldrel: SLCARE_1.0.0.zip
macOS binaries:	r-release (arm64): SLCARE_1.0.0.tgz, r-oldrel (arm64): SLCARE_1.0.0.tgz, r-release (x86_64): SLCARE_1.0.0.tgz, r-oldrel (x86_64): SLCARE_1.0.0.tgz

Linking:

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