Statistical Learning Based Estimation of Mutual Information R package SLEMI version 1.0.2 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) <doi:10.1371/journal.pcbi.1007132>. Software Depends: R (>= 3.6.0) Imports: e1071, ggplot2, gridExtra, nnet, Hmisc, reshape2, stringr, doParallel, caret, corrplot, foreach, methods Suggests: knitr, rmarkdown, testthat (>= 2.1.0), data.table, covr Tomasz Jetka <t.jetka@gmail.com> Comprehensive R Archive Network (CRAN) Tomasz Jetka [aut, cre], Karol Nienaltowski [ctb], Michal Komorowski [ctb] GPL (>= 3) 2023-11-19 application/tgz https://CRAN.R-project.org/package=SLEMI doi:10.32614/CRAN.package.SLEMI