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-4.7-any)msu_0.0.1.zip(r-4.6-any)msu_0.0.1.zip(r-4.5-any)
msu_0.0.1.tgz(r-4.6-any)msu_0.0.1.tgz(r-4.5-any)
msu_0.0.1.tar.gz(r-4.7-any)msu_0.0.1.tar.gz(r-4.6-any)
msu_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

2.78 score 1 stars 12 scripts 237 downloads 19 exports 1 dependencies

Last updated from:8524d9202c. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE121
source / vignettesOK139
linux-releaseNOTE104
macos-releaseNOTE88
macos-oldrelNOTE91
windows-develNOTE69
windows-releaseNOTE54
windows-oldrelNOTE77
wasm-releaseOK91

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