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:Gustavo Sosa [aut], Elias Maciel [cre]

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-4.5-any)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

On CRAN:

Conda:

2.74 score 1 stars 11 scripts 115 downloads 19 exports 1 dependencies

Last updated 8 years agofrom:8524d9202c. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winNOTEMar 24 2025
R-4.4-macNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025
R-4.3-winOKMar 24 2025
R-4.3-macOKMar 24 2025

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