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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 |
DOI: | 10.32614/CRAN.package.knnmi |
Author: | Brian Gregor |
Maintainer: | Brian Gregor <bgregor at bu.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Language: | en-US |
Materials: | README |
CRAN checks: | knnmi results |
Reference manual: | knnmi.pdf |
Package source: | knnmi_1.0.tar.gz |
Windows binaries: | r-devel: knnmi_1.0.zip, r-release: knnmi_1.0.zip, r-oldrel: knnmi_1.0.zip |
macOS binaries: | r-release (arm64): knnmi_1.0.tgz, r-oldrel (arm64): knnmi_1.0.tgz, r-release (x86_64): knnmi_1.0.tgz, r-oldrel (x86_64): knnmi_1.0.tgz |
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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.