Package: MatTransMix 0.1.18

Xuwen Zhu

MatTransMix: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models

Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.

Authors:Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]

MatTransMix_0.1.18.tar.gz
MatTransMix_0.1.18.tar.gz(r-4.7-arm64)MatTransMix_0.1.18.tar.gz(r-4.7-x86_64)MatTransMix_0.1.18.tar.gz(r-4.6-arm64)MatTransMix_0.1.18.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html
card.svg |card.png
MatTransMix/json (API)
NEWS

# Install 'MatTransMix' in R:
install.packages('MatTransMix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

Conda:

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

openblas

1.00 score 2 scripts 242 downloads 5 exports 1 dependencies

Last updated from:0027b07c02. Checks:5 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK110
linux-devel-x86_64OK102
source / vignettesOK166
linux-release-arm64OK121
linux-release-x86_64OK113
wasm-releaseFAIL98

Exports:MatTrans.EMMatTrans.initMatTrans.plotprint.EMsummary.EM

Dependencies:mvtnorm