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:Isaac Michaud [cre, aut]

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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.70 score 7 scripts 99 downloads 6 exports 3 dependencies

Last updated 6 years agofrom:ae95f6c46a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linux-x86_64OKDec 10 2024

Exports:estimate_mseknn_milnn_entropylnn_minearest_neighborsoptimize_mse

Dependencies:BHRcppRcppArmadillo