Package: pgmm 1.2.8
Paul D. McNicholas
pgmm: Parsimonious Gaussian Mixture Models
Carries out model-based clustering or classification using parsimonious Gaussian mixture models. McNicholas and Murphy (2008) <doi:10.1007/s11222-008-9056-0>, McNicholas (2010) <doi:10.1016/j.jspi.2009.11.006>, McNicholas and Murphy (2010) <doi:10.1093/bioinformatics/btq498>, McNicholas et al. (2010) <doi:10.1016/j.csda.2009.02.011>.
Authors:
pgmm_1.2.8.tar.gz
pgmm_1.2.8.tar.gz(r-4.7-arm64)pgmm_1.2.8.tar.gz(r-4.7-x86_64)pgmm_1.2.8.tar.gz(r-4.6-arm64)pgmm_1.2.8.tar.gz(r-4.6-x86_64)
pgmm_1.2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pgmm/json (API)
| # Install 'pgmm' in R: |
| install.packages('pgmm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ea8b556da6. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 123 | ||
| linux-devel-x86_64 | OK | 90 | ||
| source / vignettes | OK | 148 | ||
| linux-release-arm64 | OK | 114 | ||
| linux-release-x86_64 | OK | 104 | ||
| wasm-release | OK | 98 |
Exports:pgmmEM
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Coffee | coffee |
| Italian Olive Oil | olive |
| Parsimonious Gaussian Mixture Models | pgmm-package pgmm |
| Model-Based Clustering & Classification Using PGMMs | pgmmEM |
| Italian Wine | wine |