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-4.7)dTBM_3.0.zip(r-4.6)dTBM_3.0.zip(r-4.5)
dTBM_3.0.tgz(r-4.6-any)dTBM_3.0.tgz(r-4.5-any)
dTBM_3.0.tar.gz(r-4.7-any)dTBM_3.0.tar.gz(r-4.6-any)
dTBM_3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
dTBM/json (API)

# Install 'dTBM' in R:
install.packages('dTBM', repos = c('https://jhu267.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • HCP - HCP data
  • peru - Peru Legislation data

On CRAN:

Conda:

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

1.00 score 196 downloads 12 exports 56 dependencies

Last updated from:3416692dc2. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE146
source / vignettesOK246
linux-release-x86_64NOTE148
macos-release-arm64NOTE150
macos-oldrel-arm64NOTE204
windows-develNOTE95
windows-releaseNOTE94
windows-oldrelNOTE95
wasm-releaseOK109

Exports:angle_iterationas.tensordtbmfoldkronecker_listrand_tensorselect_rsim_dTBMttlttmunfoldwkmeans

Dependencies:bootcliclustercodetoolscolorspacecpp11data.tabledigestdoFutureEnvStatsfarverfastclusterforeachfuturefuture.applyggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvlme4marginsMASSMatrixmgcvminqanlmenloptrnnetnortestparallellypermutepredictionprogressrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesTraMineRvctrsveganvegclustviridisLiteWeightedClusterwithr