knnmi: k-Nearest Neighbor Mutual Information Estimator

This is a 'C++' mutual information (MI) library based on the k-nearest neighbor (KNN) algorithm. There are three functions provided for computing MI for continuous values, mixed continuous and discrete values, and conditional MI for continuous values. They are based on algorithms by A. Kraskov, et. al. (2004) <doi:10.1103/PhysRevE.69.066138>, BC Ross (2014)<doi:10.1371/journal.pone.0087357>, and A. Tsimpiris (2012) <doi:10.1016/j.eswa.2012.05.014>, respectively.

Version: 1.0
Depends: R (≥ 4.1.0)
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2024-04-02
Author: Brian Gregor ORCID iD [aut, cre], Katia Bulekova ORCID iD [aut], Reina Chau ORCID iD [aut], Stefano Monti ORCID iD [aut], Benoit Jacob [cph] (Author of included Eigen library), Gael Guennebaud [cph] (Author of included Eigen library), Jose Luis Blanco [cph] (Author of included nanoflann library), Pranjal Kumar Rai [cph] (Author of included nanoflann library)
Maintainer: Brian Gregor <bgregor at bu.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
Language: en-US
Materials: README
CRAN checks: knnmi results

Documentation:

Reference manual: knnmi.pdf

Downloads:

Package source: knnmi_1.0.tar.gz
Windows binaries: r-prerel: knnmi_1.0.zip, r-release: knnmi_1.0.zip, r-oldrel: knnmi_1.0.zip
macOS binaries: r-prerel (arm64): knnmi_1.0.tgz, r-release (arm64): knnmi_1.0.tgz, r-oldrel (arm64): knnmi_1.0.tgz, r-prerel (x86_64): knnmi_1.0.tgz, r-release (x86_64): knnmi_1.0.tgz

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