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SLCARE  

Semiparametric Latent Class Analysis of Recurrent Events
View on CRAN: Click here


Download and install SLCARE package within the R console
Install from CRAN:
install.packages("SLCARE")

Install from Github:
library("remotes")
install_github("cran/SLCARE")

Install by package version:
library("remotes")
install_version("SLCARE", "1.2.0")



Attach the package and use:
library("SLCARE")
Maintained by
Qi Yu
[Scholar Profile | Author Map]
First Published: 2023-02-22
Latest Update: 2024-01-14
Description:
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.
How to cite:
Qi Yu (2023). SLCARE: Semiparametric Latent Class Analysis of Recurrent Events. R package version 1.2.0, https://cran.r-project.org/web/packages/SLCARE. Accessed 03 Apr. 2025.
Previous versions and publish date:
1.0.0 (2023-02-22 15:20), 1.0.1 (2023-10-12 05:20), 1.1.0 (2024-01-14 08:50)
Other packages that cited SLCARE R package
View SLCARE citation profile
Other R packages that SLCARE depends, imports, suggests or enhances
Complete documentation for SLCARE
Functions, R codes and Examples using the SLCARE R package
Full SLCARE package functions and examples
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