nearest neighbor based estimators for measures of information theory
Project description
This is a package covering nearest neighbor (nn) based estimators for measures of information theory: entropy, Kullback-Leibler divergence and mutual information. Application is on continous variables that can be multidimensional.
The package includes ideas of several publications (see code), including our contribution: A Bayesian nearest neighbor mutual information estimator (BannMI). BannMI is designed for application on phsophoproteomic data to analyse potential protein-protein interactions.
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