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>.
Version: 1.0.2 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 Published: 2023-11-19 DOI: 10.32614/CRAN.package.SLEMI Author: Tomasz Jetka [aut, cre], Karol Nienaltowski [ctb], Michal Komorowski [ctb] Maintainer: Tomasz Jetka <t.jetka at gmail.com> BugReports: https://github.com/TJetka/SLEMI/issues License: GPL (≥ 3) URL: https://github.com/TJetka/SLEMI NeedsCompilation: no Materials: README NEWS CRAN checks: SLEMI results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SLEMI to link to this page.
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