Package: ppgmmga 1.3
Alessio Serafini
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>.
Authors:
ppgmmga_1.3.tar.gz
ppgmmga_1.3.zip(r-4.5)ppgmmga_1.3.zip(r-4.4)ppgmmga_1.3.zip(r-4.3)
ppgmmga_1.3.tgz(r-4.4-x86_64)ppgmmga_1.3.tgz(r-4.4-arm64)ppgmmga_1.3.tgz(r-4.3-x86_64)ppgmmga_1.3.tgz(r-4.3-arm64)
ppgmmga_1.3.tar.gz(r-4.5-noble)ppgmmga_1.3.tar.gz(r-4.4-noble)
ppgmmga_1.3.tgz(r-4.4-emscripten)ppgmmga_1.3.tgz(r-4.3-emscripten)
ppgmmga.pdf |ppgmmga.html✨
ppgmmga/json (API)
NEWS
| # Install 'ppgmmga' in R: |
| install.packages('ppgmmga', repos = c('https://luca-scr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/luca-scr/ppgmmga/issues
Last updated 3 years agofrom:3167b2b785. Checks:ERROR: 1 WARNING: 8. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | FAIL | Sep 07 2024 |
| R-4.5-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.5-linux-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-mac-x86_64 | WARNING | Sep 07 2024 |
| R-4.4-mac-aarch64 | WARNING | Sep 07 2024 |
| R-4.3-win-x86_64 | WARNING | Sep 07 2024 |
| R-4.3-mac-x86_64 | WARNING | Sep 07 2024 |
| R-4.3-mac-aarch64 | WARNING | Sep 07 2024 |
Exports:EntropyGaussEntropyGMMEntropyMCEntropySOTEEntropyUTEntropyVARlogsumexpplot.ppgmmgappgmmgappgmmga.optionsprint.ppgmmgaprint.summary.ppgmmgasummary.ppgmmga
Dependencies:clicodetoolscolorspacecrayonfansifarverforeachGAggplot2ggthemesgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation | ppgmmga-package |
| Plots the data onto the projection subspace estimated by the ppgmmga algorithm | plot.ppgmmga |
| Projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation | ppgmmga print.ppgmmga |
| Class ''ppgmmga'' | ppgmmga-class |
| Default values for 'ppgmmga' package | ppgmmga.options |
| Summary for projection pursuit based on Gaussian mixtures and evolutionary algorithms for data visualisation | print.summary.ppgmmga summary.ppgmmga |
