Package: DEM 0.0.0.2

DEM: The Distributed EM Algorithms in Multivariate Gaussian Mixture Models

The distributed expectation maximization algorithms are used to solve parameters of multivariate Gaussian mixture models. The philosophy of the package is described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

Authors:Qian Wang [aut, cre], Guangbao Guo [aut], Guoqi Qian [aut]

DEM_0.0.0.2.tar.gz
DEM_0.0.0.2.zip(r-4.7-any)DEM_0.0.0.2.zip(r-4.6-any)DEM_0.0.0.2.zip(r-4.5-any)
DEM_0.0.0.2.tgz(r-4.6-any)DEM_0.0.0.2.tgz(r-4.5-any)
DEM_0.0.0.2.tar.gz(r-4.7-any)DEM_0.0.0.2.tar.gz(r-4.6-any)
DEM_0.0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DEM/json (API)

# Install 'DEM' in R:
install.packages('DEM', repos = c('https://qian-0715.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

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 4 scripts 335 downloads 6 exports 1 dependencies

Last updated from:b4f7c5fce4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK106
source / vignettesOK126
linux-releaseOK142
macos-releaseOK147
macos-oldrelOK194
windows-develOK56
windows-releaseOK61
windows-oldrelOK61
wasm-releaseOK83

Exports:DEM1DEM2DMOEMDOEM1DOEM2EM

Dependencies:mvtnorm