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0.0.0.1

The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models

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2.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Qian WangFirst published 2022-03-301 releasesCRAN page ↗

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.

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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
  • OK2026-03-10
    14 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)
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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

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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)
Author, Maintainer
Release timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

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