SLEMI-package: SLEMI: Statistical Learning Based Estimation of Mutual...

In SLEMI: Statistical Learning Based Estimation of Mutual Information

SLEMI: Statistical Learning Based Estimation of Mutual Information

Description

The implementation of the algorithm for estimation of mutual information and channel capacity from experimental data by classification procedures (logistic regression). Technically, it allows to estimate information-theoretic measures between finite-state input and multivariate, continuous output. Method described in Jetka et al. (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1371/journal.pcbi.1007132")}.

Author(s)

Maintainer: Tomasz Jetka [e-mail]

Other contributors:

• Karol Nienaltowski [contributor]

• Michal Komorowski [contributor]

See Also

Useful links:

• https://github.com/TJetka/SLEMI

• Report bugs at https://github.com/TJetka/SLEMI/issues

SLEMI documentation built on Nov. 20, 2023, 1:06 a.m.