Package: RGMM 2.1.0
RGMM: Robust Mixture Model
Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.
Authors:
RGMM_2.1.0.tar.gz
RGMM_2.1.0.zip(r-4.5)RGMM_2.1.0.zip(r-4.4)RGMM_2.1.0.zip(r-4.3)
RGMM_2.1.0.tgz(r-4.4-x86_64)RGMM_2.1.0.tgz(r-4.4-arm64)RGMM_2.1.0.tgz(r-4.3-x86_64)RGMM_2.1.0.tgz(r-4.3-arm64)
RGMM_2.1.0.tar.gz(r-4.5-noble)RGMM_2.1.0.tar.gz(r-4.4-noble)
RGMM_2.1.0.tgz(r-4.4-emscripten)RGMM_2.1.0.tgz(r-4.3-emscripten)
RGMM.pdf |RGMM.html✨
RGMM/json (API)
| # Install 'RGMM' in R: |
| install.packages('RGMM', repos = c('https://godichon-baggioni.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 12 months agofrom:c3744351b1. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win-x86_64 | OK | Nov 02 2024 |
| R-4.5-linux-x86_64 | OK | Nov 02 2024 |
| R-4.4-win-x86_64 | OK | Nov 02 2024 |
| R-4.4-mac-x86_64 | OK | Nov 02 2024 |
| R-4.4-mac-aarch64 | OK | Nov 02 2024 |
| R-4.3-win-x86_64 | OK | Nov 02 2024 |
| R-4.3-mac-x86_64 | OK | Nov 02 2024 |
| R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:Gen_MMRMMplotRobMMRobVar
Dependencies:askpassbootcellrangerclassclicodetoolscolorspacecpp11crayoncurldata.tableDescToolsdoParallele1071Exactexpmfansifarverforeachgenieclustggplot2gldgluegtablehmshttrisobanditeratorsjsonlitelabelingLaplacesDemonlatticelifecyclelmommagrittrMASSMatrixmclustmgcvmimemunsellmvtnormnlmeopensslpillarpkgconfigplyrprettyunitsprogressproxyR6RColorBrewerRcppRcppArmadilloRcppEigenreadxlrematchreshape2rlangrootSolveRSpectrarstudioapiscalesstringistringrsystibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Mixture Model | RGMM-package |
| Gen_MM | Gen_MM |
| RMMplot | RMMplot |
| RobMM | RobMM |
| RobVar | RobVar |
