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license: GPL-2.0-or-later
title: 'fastmit: Fast Mutual Information Based Independence Test'
version: 0.1.1
doi: 10.32614/CRAN.package.fastmit
abstract: A mutual information estimator based on k-nearest neighbor method proposed
  by A. Kraskov, et al. (2004) <https://doi.org/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) <https://doi.org/10.1093/biomet/asz024>);
  furthermore, we extend it to tackle datasets in metric spaces.
authors:
- family-names: Lin
  given-names: Shiyun
  email: linshy27@mail2.sysu.edu.cn
- family-names: Zhu
  given-names: Jin
  email: zhuj37@mail2.sysu.edu.cn
- family-names: Pan
  given-names: Wenliang
- family-names: Wang
  given-names: Xueqin
  email: wangxq88@mail.sysu.edu.cn
repository: https://CRAN.R-project.org/package=fastmit
date-released: '2019-12-30'
contact:
- family-names: Lin
  given-names: Shiyun
  email: linshy27@mail2.sysu.edu.cn