ppgmmga
1.3.1Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
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Overview
About
Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) doi:10.1080/10618600.2019.1598871.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
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- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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ppgmmga
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54 commits · Last activity 2024-09-19
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10 external dependencies (excludes base and recommended)
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R >= 3.4
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Package Timeline
6 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.3.1Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.32023-11-17 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.22019-07-08 · diff ↗
- 1.12019-06-03 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0.12018-10-15 · diff ↗
- 1.02018-10-14
- RR 3.5.0 released · 2018-04-23
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Package metadata
- First published
- 2018-10-14
- Total releases
- 6 / 8 yrs
- License
- GPL (>= 2) OSI
- Download size
- 1.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet