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:Shiyun Lin [aut, cre], Jin Zhu [aut], Wenliang Pan [aut], Xueqin Wang [aut], SC2S2 [cph]

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'))

Peer review:

Uses libs:
  • 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.

cpp

1.81 score 13 scripts 156 downloads 2 exports 2 dependencies

Last updated 5 years agofrom:4adb14365d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 26 2024
R-4.5-linux-x86_64OKNov 26 2024

Exports:mimi.test

Dependencies:RcppRcppArmadillo