Package: TemporalForest
Title: Network-Guided Temporal Forests for Feature Selection in
        High-Dimensional Longitudinal Data
Version: 0.1.4
Authors@R: c(
    person("Sisi", "Shao",
           email = "sisishao@g.ucla.edu",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0000-9783-9205")),
    person("Jason H.", "Moore",
           email = "Jason.Moore@csmc.edu",
           role = "aut",
           comment = c(ORCID = "0000-0002-5015-1099")),
    person("Christina M.", "Ramirez",
           email = "cr@ucla.edu",
           role = "aut",
           comment = c(ORCID = "0000-0002-8435-0416"))
    )
Description: Implements the Temporal Forest algorithm for feature selection in 
    high-dimensional longitudinal data. The method combines time-aware network 
    construction via weighted gene co-expression network analysis (WGCNA), module-based feature screening, and stability 
    selection using tree-based models. This package provides tools for 
    reproducible longitudinal analysis, closely following the methodology 
    described in Shao, Moore, and Ramirez (2025) <https://github.com/SisiShao/TemporalForest>.
License: MIT + file LICENSE
URL: https://github.com/SisiShao/TemporalForest
BugReports: https://github.com/SisiShao/TemporalForest/issues
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.3
Imports: WGCNA, dynamicTreeCut, flashClust, glmertree, partykit, stats,
        graphics, grDevices,
Suggests: knitr, rmarkdown, igraph, Matrix, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-12-17 08:48:16 UTC; sisishao
Author: Sisi Shao [aut, cre] (ORCID: <https://orcid.org/0009-0000-9783-9205>),
  Jason H. Moore [aut] (ORCID: <https://orcid.org/0000-0002-5015-1099>),
  Christina M. Ramirez [aut] (ORCID:
    <https://orcid.org/0000-0002-8435-0416>)
Maintainer: Sisi Shao <sisishao@g.ucla.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-22 17:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:15:57 UTC; unix
