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TemporalForest

Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data

v0.1.4 · Dec 22, 2025 · MIT + file LICENSE

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>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies WGCNA dynamicTreeCut flashClust glmertree partykit TemporalForest

Version History

new 0.1.4 Mar 9, 2026