Package: ClickClustCont 0.1.7
Michael P.B. Gallaugher
ClickClustCont: Mixtures of Continuous Time Markov Models
Provides an expectation maximization (EM) algorithm to fit a mixture of continuous time Markov models for use with clickstream or other sequence type data. Gallaugher, M.P.B and McNicholas, P.D. (2018) <arxiv:1802.04849>.
Authors:
ClickClustCont_0.1.7.tar.gz
ClickClustCont_0.1.7.tar.gz(r-4.5-noble)ClickClustCont_0.1.7.tar.gz(r-4.4-noble)
ClickClustCont_0.1.7.tgz(r-4.4-emscripten)ClickClustCont_0.1.7.tgz(r-4.3-emscripten)
ClickClustCont.pdf |ClickClustCont.html✨
ClickClustCont/json (API)
# Install 'ClickClustCont' in R: |
install.packages('ClickClustCont', 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 5 years agofrom:c49da238b4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux | OK | Dec 14 2024 |
Exports:ClickClust_EM
Dependencies:gtools
Readme and manuals
Help Manual
Help page | Topics |
---|---|
EM Algorithm for Continuous Time Markov Models | ClickClust_EM |
Revised MSNBC Data | mMSNBC |
Simulated Data | SimData |