SLEMI-package

SLEMI: Statistical Learning Based Estimation of Mutual Information

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) tools:::Rd_expr_doi("10.1371/journal.pcbi.1007132") . package

See Also

Useful links:

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

Author(s)

Maintainer : Tomasz Jetka t.jetka@gmail.com

Other contributors:

• Karol Nienaltowski [contributor]
• Michal Komorowski [contributor]