DOEM
0.0.0.1The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models
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Overview
About
The distributed online expectation maximization algorithms are used to solve parameters of Poisson mixture models. The philosophy of the package is described in Guo, G. (2022) doi:10.1080/02664763.2022.2053949.
Install
Health
CRAN checks
13OK
Slowest check: 57 s · r-release-windows-x86_64
Code health
Yes
Tests · ratio 0.02
not tracked
Coverage
100%
Documentation · exports
None
Vignettes
No
README
1
Dependencies · direct
Check history
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Dependencies
Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (1)
stats
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
Code Composition
Rd 509 (53%)R 452 (47%)
Code characteristics
- Cyclomatic complexity
- 5.0 median / 9 max
- Test cases
- 1 / 0.02 per code line
- Documented parameters
- 100%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
5 5 exported
Complexity
5.8 avg / 9 max
Call network
5 nodes / 0 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
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Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Release timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.0.0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2022-03-30
- Total releases
- 1 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 902 KB / 4 files
- Download size
- 909 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet