Package: msu 0.0.1
msu: Multivariate Symmetric Uncertainty and Other Measurements
Estimators for multivariate symmetrical uncertainty based on the work of Gustavo Sosa et al. (2016) <arxiv:1709.08730>, total correlation, information gain and symmetrical uncertainty of categorical variables.
Authors:
msu_0.0.1.tar.gz
msu_0.0.1.zip(r-4.5)msu_0.0.1.zip(r-4.4)msu_0.0.1.zip(r-4.3)
msu_0.0.1.tgz(r-4.4-any)msu_0.0.1.tgz(r-4.3-any)
msu_0.0.1.tar.gz(r-4.5-noble)msu_0.0.1.tar.gz(r-4.4-noble)
msu_0.0.1.tgz(r-4.4-emscripten)msu_0.0.1.tgz(r-4.3-emscripten)
msu.pdf |msu.html✨
msu/json (API)
| # Install 'msu' in R: |
| install.packages('msu', repos = c('https://eliasmacielr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/eliasmacielr/msu/issues
Last updated 7 years agofrom:8524d9202c. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | NOTE | Oct 25 2024 |
| R-4.5-linux | NOTE | Oct 25 2024 |
| R-4.4-win | NOTE | Oct 25 2024 |
| R-4.4-mac | NOTE | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:Ccategorical_sample_sizeHIGinformation_gainjoint_Hjoint_shannon_entropymsumultivar_joint_Hmultivar_joint_shannon_entropynew_informative_variablenew_variablenew_xor_variablesrel_freqsample_sizeshannon_entropySUsymmetrical_uncertaintytotal_correlation
Dependencies:entropy
