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:
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')) |
- 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.
Last updated 4 years agofrom:989833ffb1. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 21 2024 |
| R-4.5-linux | NOTE | Dec 21 2024 |
Exports:get_lrtget_node_valget_waldjlctreejlctree.controlprune_treesurvesurvisurvs
Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppEigenrpartsurvival
