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msu is a library providing an estimator for the multivariate symmetrical uncertainty measurement and other related estimators, such as symmetrical uncertainty, total correlation, information gain (also called mutual information) and Shannon entropy for categorical variables.
For more details about MSU read Understanding a Version of Multivariate Symmetric Uncertainty to assist in Feature Selection and references therein.
install.packages("msu")The development version is available in GitHub and it can be installed using devtools
devtools::install_github("eliasmacielr/msu")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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