Package: TensorClustering 1.0.2

Kai Deng

TensorClustering: Model-Based Tensor Clustering

Performs model-based tensor clustering methods including Tensor Gaussian Mixture Model (TGMM), Tensor Envelope Mixture Model (TEMM) by Deng and Zhang (2021) <doi:10.1111/biom.13486>, Doubly-Enhanced EM (DEEM) algorithm by Mai, Zhang, Pan and Deng (2021) <doi:10.1080/01621459.2021.1904959>.

Authors:Kai Deng [aut, cre], Yuqing Pan [aut], Xin Zhang [aut], Qing Mai [aut]

TensorClustering_1.0.2.tar.gz
TensorClustering_1.0.2.tar.gz(r-4.7-arm64)TensorClustering_1.0.2.tar.gz(r-4.7-x86_64)TensorClustering_1.0.2.tar.gz(r-4.6-arm64)TensorClustering_1.0.2.tar.gz(r-4.6-x86_64)
TensorClustering_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TensorClustering/json (API)
NEWS

# Install 'TensorClustering' in R:
install.packages('TensorClustering', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

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

fortran

1.70 score 1 scripts 216 downloads 7 exports 12 dependencies

Last updated from:84c9be33b5. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE110
linux-devel-x86_64NOTE111
source / vignettesOK168
linux-release-arm64NOTE130
linux-release-x86_64NOTE119
wasm-releaseOK100

Exports:DEEMTEMMTGMMtune_Ktune_lambtune_u_jointtune_u_sep

Dependencies:abindassertthatcombinatManifoldOptimMASSmvtnormpracmaRcppRcppArmadillorTensortensrTRES