The Distributed EM Algorithms in Multivariate Gaussian Mixture Models
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 9
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Dependencies
Installing DEM adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: mvtnorm 1.0 MB.
Code & Tests
Datasets
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.0.0.2Latest
- RR 4.2.0 released · 2022-04-22
- 0.0.0.12022-04-01
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-04-01
- Total releases
- 2 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 1.6 MB / 4 files
- Download size
- 1.6 MB
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