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TemporalForest: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
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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Package details |
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| 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> |
| License | MIT + file LICENSE |
| Version | 0.1.4 |
| URL | https://github.com/SisiShao/TemporalForest |
| Package repository | View on CRAN |
| Installation |
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