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-4.7-arm64)mcclust_1.0.1.tar.gz(r-4.7-x86_64)mcclust_1.0.1.tar.gz(r-4.6-arm64)mcclust_1.0.1.tar.gz(r-4.6-x86_64)
mcclust_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mcclust/json (API)
| # Install 'mcclust' in R: |
| install.packages('mcclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- 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
- Ysim1.5 - Simulated 3-dimensional Normal Data Containing 8 Clusters
- Ysim2 - Simulated 3-dimensional Normal Data Containing 8 Clusters
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b2ee5f3ad2. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 137 | ||
| linux-devel-x86_64 | OK | 105 | ||
| source / vignettes | OK | 169 | ||
| linux-release-arm64 | OK | 118 | ||
| linux-release-x86_64 | OK | 110 | ||
| wasm-release | OK | 110 |
Exports:arandibindercltoSimcomp.psmlaugreenmaxpearmedvminbindernorm.labelpearrelabelSimtoclvi.dist
Dependencies:lpSolve
