Package: jlctree 0.0.2

Ningshan Zhang

jlctree: Joint Latent Class Trees for Joint Modeling of Time-to-Event and Longitudinal Data

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) <arxiv:1812.01774>.

Authors:Ningshan Zhang and Jeffrey S. Simonoff

jlctree_0.0.2.tar.gz
jlctree_0.0.2.tar.gz(r-4.5-noble)jlctree_0.0.2.tar.gz(r-4.4-noble)
jlctree_0.0.2.tgz(r-4.4-emscripten)jlctree_0.0.2.tgz(r-4.3-emscripten)
jlctree.pdf |jlctree.html
jlctree/json (API)

# Install 'jlctree' in R:
install.packages('jlctree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • data_timeinv - A simulated dataset with time-invariant longitudinal outcome and covariates.
  • data_timevar - A simulated dataset with time-varying longitudinal outcome and covariates.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 6 scripts 138 downloads 9 exports 12 dependencies

Last updated 4 years agofrom:989833ffb1. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-linuxNOTENov 21 2024

Exports:get_lrtget_node_valget_waldjlctreejlctree.controlprune_treesurvesurvisurvs

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigenrpartsurvival