Package: dTBM 3.0

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. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.

Authors:Jiaxin Hu [aut, cre, cph], Miaoyan Wang [aut, cph]

dTBM_3.0.tar.gz
dTBM_3.0.zip(r-4.5)dTBM_3.0.zip(r-4.4)dTBM_3.0.zip(r-4.3)
dTBM_3.0.tgz(r-4.4-any)dTBM_3.0.tgz(r-4.3-any)
dTBM_3.0.tar.gz(r-4.5-noble)dTBM_3.0.tar.gz(r-4.4-noble)
dTBM_3.0.tgz(r-4.4-emscripten)dTBM_3.0.tgz(r-4.3-emscripten)
dTBM.pdf |dTBM.html
dTBM/json (API)

# Install 'dTBM' in R:
install.packages('dTBM', repos = c('https://jhu267.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • HCP - HCP data
  • peru - Peru Legislation data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

12 exports 0.00 score 48 dependencies 216 downloads

Last updated 1 years agofrom:3416692dc2. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winNOTEAug 20 2024
R-4.5-linuxNOTEAug 20 2024
R-4.4-winNOTEAug 20 2024
R-4.4-macNOTEAug 20 2024
R-4.3-winNOTEAug 20 2024
R-4.3-macNOTEAug 20 2024

Exports:angle_iterationas.tensordtbmfoldkronecker_listrand_tensorselect_rsim_dTBMttlttmunfoldwkmeans

Dependencies:bootcliclustercodetoolscolorspacedigestdoFutureEnvStatsfansifarverforeachfuturefuture.applyggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmennetnortestparallellypermutepillarpkgconfigprogressrR6RColorBrewerrlangscalestibbleTraMineRutf8vctrsveganviridisLiteWeightedClusterwithr