Package: DEM 0.0.0.2

Qian Wang

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.tar.gz(r-4.5-noble)DEM_0.0.0.2.tar.gz(r-4.4-noble)
DEM_0.0.0.2.tgz(r-4.4-emscripten)DEM_0.0.0.2.tgz(r-4.3-emscripten)
DEM.pdf |DEM.html✨
DEM/json (API)

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

Peer review:

Datasets:

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

1.00 score 3 scripts 214 downloads 6 exports 1 dependencies

Last updated 3 years agofrom:b4f7c5fce4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-linuxOKNov 11 2024

Exports:DEM1DEM2DMOEMDOEM1DOEM2EM

Dependencies:mvtnorm