Package: mcclust 1.0.1
Arno Fritsch
mcclust: Process an MCMC Sample of Clusterings
Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.
Authors:
mcclust_1.0.1.tar.gz
mcclust_1.0.1.tar.gz(r-4.5-noble)mcclust_1.0.1.tar.gz(r-4.4-noble)
mcclust_1.0.1.tgz(r-4.4-emscripten)mcclust_1.0.1.tgz(r-4.3-emscripten)
mcclust.pdf |mcclust.html✨
mcclust/json (API)
| # Install 'mcclust' in R: |
| install.packages('mcclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Ysim1.5 - Simulated 3-dimensional Normal Data Containing 8 Clusters
- Ysim2 - Simulated 3-dimensional Normal Data Containing 8 Clusters
- cls.draw1.5 - Sample of Clusterings from Posterior Distribution of Bayesian Cluster Model
- cls.draw2 - Sample of Clusterings from Posterior Distribution of Bayesian Cluster Model
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:b2ee5f3ad2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux-x86_64 | OK | Dec 07 2024 |
Exports:arandibindercltoSimcomp.psmlaugreenmaxpearmedvminbindernorm.labelpearrelabelSimtoclvi.dist
Dependencies:lpSolve
