sysbiosig/SLEMI: Statistical Learning Based Estimation of Mutual Information (SLEMI)

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 (2019) <doi:10.1371/journal.pcbi.1007132>.

Getting started

Package details

MaintainerTomasz Jetka <t.jetka@gmail.com>
LicenseLGPL (>=2)
Version1.00.190918
URL https://github.com/sysbiosig/SLEMI
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sysbiosig/SLEMI")
sysbiosig/SLEMI documentation built on Oct. 6, 2019, 5:54 a.m.