ppgmmga
Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.1 |
rolling linux/jammy R-4.5 | ppgmmga_1.3.1.tar.gz |
1.4 MiB |
1.3.1 |
rolling linux/noble R-4.5 | ppgmmga_1.3.1.tar.gz |
1.4 MiB |
1.3.1 |
rolling source/ R- | ppgmmga_1.3.1.tar.gz |
1.2 MiB |
1.3.1 |
latest linux/jammy R-4.5 | ppgmmga_1.3.1.tar.gz |
1.4 MiB |
1.3.1 |
latest linux/noble R-4.5 | ppgmmga_1.3.1.tar.gz |
1.4 MiB |
1.3.1 |
latest source/ R- | ppgmmga_1.3.1.tar.gz |
1.2 MiB |
1.3.1 |
2026-04-26 source/ R- | ppgmmga_1.3.1.tar.gz |
1.2 MiB |
1.3.1 |
2026-04-23 source/ R- | ppgmmga_1.3.1.tar.gz |
1.2 MiB |
1.3.1 |
2026-04-09 windows/windows R-4.5 | ppgmmga_1.3.1.zip |
1.7 MiB |
1.3 |
2025-04-20 source/ R- | ppgmmga_1.3.tar.gz |
1.2 MiB |