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factree

Factor-Augmented Clustering Tree

Implements the Factor-Augmented Clustering Tree (FACT) algorithm for clustering time series data. The method constructs a classification tree where splits are determined by covariates, and the splitting criterion is based on a group factor model representation of the time series within each node. Both threshold-based and permutation-based tests are supported for splitting decisions, with an option for parallel computation. For methodological details, see Hu, Li, Luo, and Wang (2025, in preparation), Factor-Augmented Clustering Tree for Time Series.

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VersionRepositoryFileSize
0.1.0 rolling source/ R- factree_0.1.0.tar.gz 13.8 KiB
0.1.0 latest source/ R- factree_0.1.0.tar.gz 13.8 KiB
0.1.0 2026-04-23 source/ R- factree_0.1.0.tar.gz 13.8 KiB
0.1.0 2026-04-09 windows/windows R-4.5 factree_0.1.0.zip 74.2 KiB

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