Package: ClickClust 1.1.6
Volodymyr Melnykov
ClickClust: Model-Based Clustering of Categorical Sequences
Clustering categorical sequences by means of finite mixtures with Markov model components is the main utility of ClickClust. The package also allows detecting blocks of equivalent states by forward and backward state selection procedures.
Authors:
ClickClust_1.1.6.tar.gz
ClickClust_1.1.6.zip(r-4.7-x86_64)ClickClust_1.1.6.zip(r-4.7-arm64)ClickClust_1.1.6.zip(r-4.6-x86_64)ClickClust_1.1.6.zip(r-4.6-arm64)
ClickClust_1.1.6.tar.gz(r-4.7-arm64)ClickClust_1.1.6.tar.gz(r-4.7-x86_64)ClickClust_1.1.6.tar.gz(r-4.6-arm64)ClickClust_1.1.6.tar.gz(r-4.6-x86_64)
ClickClust_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ClickClust/json (API)
| # Install 'ClickClust' in R: |
| install.packages('ClickClust', 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:0e4db3448a. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 104 | ||
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 145 | ||
| linux-release-arm64 | OK | 93 | ||
| linux-release-x86_64 | OK | 106 | ||
| windows-devel-arm64 | OK | 204 | ||
| windows-devel-x86_64 | OK | 112 | ||
| windows-release-arm64 | OK | 180 | ||
| windows-release-x86_64 | OK | 78 | ||
| wasm-release | OK | 90 |
Exports:click.backwardclick.EMclick.forwardclick.plotclick.predictclick.readclick.simclick.varprint.EMprint.searchsummary.EMsummary.search
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model-based clustering of categorical sequences | ClickClust-package |
| Dataset: result of backward state selection | B3 |
| Dataset: simulated dataset | C |
| Backward search for equivalent states | click.backward |
| EM algorithm for mixtures of Markov models | click.EM |
| Forward search for equivalent states | click.forward |
| Plot of the obtained clustering solution | click.plot |
| Prediction of future state visits | click.predict |
| Reading sequences of visited states | click.read |
| Simulating sequences of visited states | click.sim |
| Variance-covariance matrix estimation | click.var |
| Dataset: msnbc323 | msnbc323 |
| Functions for Printing or Summarizing Objects | print.EM print.search summary.EM summary.search |
| Illustrative dataset: sequences of five states | synth |