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>.

Version: 0.0.0.2
Depends: R (≥ 3.5.0)
Imports: mvtnorm
Suggests: testthat (≥ 3.0.0)
Published: 2022-05-14
Author: Qian Wang [aut, cre], Guangbao Guo [aut], Guoqi Qian [aut]
Maintainer: Qian Wang <waqian0715 at 163.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: DEM results

Documentation:

Reference manual: DEM.pdf

Downloads:

Package source: DEM_0.0.0.2.tar.gz
Windows binaries: r-devel: DEM_0.0.0.2.zip, r-release: DEM_0.0.0.2.zip, r-oldrel: DEM_0.0.0.2.zip
macOS binaries: r-release (arm64): DEM_0.0.0.2.tgz, r-oldrel (arm64): DEM_0.0.0.2.tgz, r-release (x86_64): DEM_0.0.0.2.tgz, r-oldrel (x86_64): DEM_0.0.0.2.tgz
Old sources: DEM archive

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