Package: rmi 0.1.1
Isaac Michaud
rmi: Mutual Information Estimators
Provides mutual information estimators based on k-nearest neighbor estimators by A. Kraskov, et al. (2004) <doi:10.1103/PhysRevE.69.066138>, S. Gao, et al. (2015) <http://proceedings.mlr.press/v38/gao15.pdf> and local density estimators by W. Gao, et al. (2017) <doi:10.1109/ISIT.2017.8006749>.
Authors:
rmi_0.1.1.tar.gz
rmi_0.1.1.tar.gz(r-4.5-noble)rmi_0.1.1.tar.gz(r-4.4-noble)
rmi_0.1.1.tgz(r-4.4-emscripten)rmi_0.1.1.tgz(r-4.3-emscripten)
rmi.pdf |rmi.html✨
rmi/json (API)
NEWS
# Install 'rmi' in R: |
install.packages('rmi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:ae95f6c46a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 10 2024 |
R-4.5-linux-x86_64 | OK | Dec 10 2024 |
Exports:estimate_mseknn_milnn_entropylnn_minearest_neighborsoptimize_mse
Dependencies:BHRcppRcppArmadillo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Estimate MSE of LNC Estimator | estimate_mse |
kNN Mutual Information Estimators | knn_mi |
Local Nearest Neighbor (LNN) Entropy Estimator | lnn_entropy |
Local Nearest Neighbor (LNN) MI Estimator | lnn_mi |
Compute Nearest Neighbors | nearest_neighbors |
Optimize MSE of LNC Estimator | optimize_mse |
Mutual Information Estimators | rmi-package rmi |