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.
- Version0.1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/30/2019
Documentation
Team
Shiyun Lin
Jin Zhu
Show author detailsRolesAuthorWenliang Pan
Show author detailsRolesAuthorXueqin Wang
SC2S2
Show author detailsRolesCopyright holder
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