Package: fastmit 0.1.1
Shiyun Lin
fastmit: Fast Mutual Information Based Independence Test
A mutual information estimator based on k-nearest neighbor method proposed by A. Kraskov, et al. (2004) <doi:10.1103/PhysRevE.69.066138> to measure general dependence and the time complexity for our estimator is only squared to the sample size, which is faster than other statistics. Besides, an implementation of mutual information based independence test is provided for analyzing multivariate data in Euclidean space (T B. Berrett, et al. (2019) <doi:10.1093/biomet/asz024>); furthermore, we extend it to tackle datasets in metric spaces.
Authors:
fastmit_0.1.1.tar.gz
fastmit_0.1.1.tar.gz(r-4.5-noble)fastmit_0.1.1.tar.gz(r-4.4-noble)
fastmit_0.1.1.tgz(r-4.4-emscripten)fastmit_0.1.1.tgz(r-4.3-emscripten)
fastmit.pdf |fastmit.html✨
fastmit/json (API)
NEWS
| # Install 'fastmit' in R: |
| install.packages('fastmit', 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 5 years agofrom:4adb14365d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-linux-x86_64 | OK | Oct 27 2024 |
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| kNN Mutual Information Estimators | mi |
| Mutual Information Test | mi.test |