Package: ChoR 0.0-4
ChoR: Chordalysis R Package
Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://github.com/HerrmannM/Monash-ChoR>.
Authors:
ChoR_0.0-4.tar.gz
ChoR_0.0-4.zip(r-4.5)ChoR_0.0-4.zip(r-4.4)ChoR_0.0-4.zip(r-4.3)
ChoR_0.0-4.tgz(r-4.4-any)ChoR_0.0-4.tgz(r-4.3-any)
ChoR_0.0-4.tar.gz(r-4.5-noble)ChoR_0.0-4.tar.gz(r-4.4-noble)
ChoR_0.0-4.tgz(r-4.4-emscripten)ChoR_0.0-4.tgz(r-4.3-emscripten)
ChoR.pdf |ChoR.html✨
ChoR/json (API)
| # Install 'ChoR' in R: |
| install.packages('ChoR', repos = c('https://herrmannm.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 7 years agofrom:2ecb4b2d5d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:ChoR.as.cliquesChoR.as.formulaChoR.as.graphChoR.BudgetChoR.MMLChoR.SMT
Dependencies:commonsMathrJava
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Getting started with the ChoR package | ChoR-package ChoR |
| Get the cliques. | ChoR.as.cliques |
| Get the formula. | ChoR.as.formula |
| Get the graph. | ChoR.as.graph |
| Call to the budget chordalysis algorithm. | ChoR.Budget |
| [INTERNAL] Load the data from a dataframe (and with an optionnal cardinality vector) | ChoR.loadData |
| Call to the MML chordalysis algorithm. | ChoR.MML |
| [INTERNAL] Process the result of a java Chordalysis algorithm. | ChoR.processResult |
| Call to the SMT chordalysis algorithm. | ChoR.SMT |
| Gives a string representation of the model. | print.chordalysis |
| [INTERNAL] Gives a string representation of the model. | toString |
