Package: knnmi 1.0
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.
Authors:
knnmi_1.0.tar.gz
knnmi_1.0.zip(r-4.5)knnmi_1.0.zip(r-4.4)knnmi_1.0.zip(r-4.3)
knnmi_1.0.tgz(r-4.4-x86_64)knnmi_1.0.tgz(r-4.4-arm64)knnmi_1.0.tgz(r-4.3-x86_64)knnmi_1.0.tgz(r-4.3-arm64)
knnmi_1.0.tar.gz(r-4.5-noble)knnmi_1.0.tar.gz(r-4.4-noble)
knnmi_1.0.tgz(r-4.4-emscripten)knnmi_1.0.tgz(r-4.3-emscripten)
knnmi.pdf |knnmi.html✨
knnmi/json (API)
| # Install 'knnmi' in R: |
| install.packages('knnmi', repos = c('https://bu-bgregor.r-universe.dev', 'https://cloud.r-project.org')) |
- mutual_info_df - Toy Dataset for knnmi package
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 months agofrom:8e572ccbea. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win-x86_64 | OK | Oct 31 2024 |
| R-4.5-linux-x86_64 | OK | Oct 31 2024 |
| R-4.4-win-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-x86_64 | OK | Oct 31 2024 |
| R-4.4-mac-aarch64 | OK | Oct 31 2024 |
| R-4.3-win-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-x86_64 | OK | Oct 31 2024 |
| R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:cond_mutual_infmutual_inf_ccmutual_inf_cd
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional mutual information estimation | cond_mutual_inf |
| Mutual information estimation | mutual_inf_cc |
| Mutual information estimation | mutual_inf_cd |
| Toy Dataset for knnmi package | mutual_info_df |
