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 
[aut, cre],
Katia Bulekova
[aut],
Reina Chau [aut],
Stefano Monti
[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:
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