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:Arno Fritsch

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'))

Peer review:

Datasets:
  • 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.

4.26 score 9 packages 169 scripts 442 downloads 4 mentions 13 exports 1 dependencies

Last updated 3 years agofrom:b2ee5f3ad2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024

Exports:arandibindercltoSimcomp.psmlaugreenmaxpearmedvminbindernorm.labelpearrelabelSimtoclvi.dist

Dependencies:lpSolve