SLCARE: Semiparametric Latent Class Analysis of Recurrent Events

Efficient R package for latent class analysis of recurrent events, based on the semiparametric multiplicative intensity model by Zhao et al. (2022) <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model parameters along with the associated variance estimates and p-values. Visualization tools are provided to depict the estimated functional model parameters and related functional quantities of interest. SLCARE also delivers a model checking plot to help assess the adequacy of the fitted model.

Version:	1.1.0
Depends:	R (≥ 2.10)
Imports:	dplyr, ggplot2, magrittr, methods, nnet, reda, reReg, rlang, stats, tidyr, utils
Published:	2024-01-14
Author:	Qi Yu [aut, cre], Limin Peng [aut]
Maintainer:	Qi Yu <qi.yu2 at emory.edu>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	SLCARE results

Documentation:

Reference manual:

SLCARE.pdf

Downloads:

Package source:	SLCARE_1.1.0.tar.gz
Windows binaries:	r-prerel: SLCARE_1.1.0.zip, r-release: SLCARE_1.1.0.zip, r-oldrel: SLCARE_1.1.0.zip
macOS binaries:	r-prerel (arm64): SLCARE_1.1.0.tgz, r-release (arm64): SLCARE_1.1.0.tgz, r-oldrel (arm64): SLCARE_1.1.0.tgz, r-prerel (x86_64): SLCARE_1.1.0.tgz, r-release (x86_64): SLCARE_1.1.0.tgz
Old sources:	SLCARE archive

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