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TemporalForest  

Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data
View on CRAN: Click here


Download and install TemporalForest package within the R console
Install from CRAN:
install.packages("TemporalForest")

Install from Github:
library("remotes")
install_github("cran/TemporalForest")

Install by package version:
library("remotes")
install_version("TemporalForest", "0.1.4")



Attach the package and use:
library("TemporalForest")
Maintained by
Sisi Shao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-22
Latest Update: 2025-12-22
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>.
How to cite:
Sisi Shao (2025). TemporalForest: Network-Guided Temporal Forests for Feature Selection in High-Dimensional Longitudinal Data. R package version 0.1.4, https://cran.r-project.org/web/packages/TemporalForest. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for TemporalForest
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Full TemporalForest package functions and examples
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