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jlctree  

Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("jlctree", "0.0.2")



Attach the package and use:
library("jlctree")
Maintained by
Ningshan Zhang
[Scholar Profile | Author Map]
First Published: 2018-12-28
Latest Update: 2021-04-15
Description:
Implements the tree-based approach to joint modeling of time-to-event and longitudinal data. This approach looks for a tree-based partitioning such that within each estimated latent class defined by a terminal node, the time-to-event and longitudinal responses display a lack of association. See Zhang and Simonoff (2018) .
How to cite:
Ningshan Zhang (2018). jlctree: Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data. R package version 0.0.2, https://cran.r-project.org/web/packages/jlctree. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.0.1 (2018-12-28 00:20)
Other packages that cited jlctree R package
View jlctree citation profile
Other R packages that jlctree depends, imports, suggests or enhances
Complete documentation for jlctree
Functions, R codes and Examples using the jlctree R package
Some associated functions: data_timeinv . data_timevar . get_lrt . get_node_val . get_wald . jlctree-package . jlctree.control . jlctree . prune_tree . surve . survi . survs . 
Some associated R codes: data_timeinv.R . data_timevar.R . get_lrt.R . get_node_val.R . get_wald.R . jlctree-package.R . jlctree.R . jlctree.control.R . prune_tree.R . surve.R . survi.R . survs.R .  Full jlctree package functions and examples
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