dTBM: Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models

Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model.

Version: 2.0
Depends: R (≥ 3.5.0)
Imports: tensorregress, WeightedCluster, EnvStats
Published: 2022-02-06
Author: Jiaxin Hu [aut, cre, cph], Miaoyan Wang [aut, cph]
Maintainer: Jiaxin Hu <jhu267 at wisc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: dTBM results


Reference manual: dTBM.pdf


Package source: dTBM_2.0.tar.gz
Windows binaries: r-devel: dTBM_2.0.zip, r-release: dTBM_2.0.zip, r-oldrel: dTBM_2.0.zip
macOS binaries: r-release (arm64): dTBM_2.0.tgz, r-oldrel (arm64): dTBM_2.0.tgz, r-release (x86_64): dTBM_2.0.tgz, r-oldrel (x86_64): dTBM_2.0.tgz
Old sources: dTBM archive


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