Package: SLEMI
Title: Statistical Learning Based Estimation of Mutual Information
Version: 1.0.2
Authors@R: c(person("Tomasz", "Jetka", email = "t.jetka@gmail.com", role = c("aut", "cre")),
			 person("Karol", "Nienaltowski",role="ctb"),person("Michal", "Komorowski",role="ctb"))
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)
        <doi:10.1371/journal.pcbi.1007132>.
Depends: R (>= 3.6.0)
License: LGPL (>=2)
URL: https://github.com/TJetka/SLEMI
BugReports: https://github.com/TJetka/SLEMI/issues
Encoding: UTF-8
LazyData: true
Imports: e1071, ggplot2, gridExtra, nnet, Hmisc, reshape2, stringr,
        doParallel, caret, corrplot, foreach, methods
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), data.table, covr
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://tjetka.r-universe.dev
Date/Publication: 2023-11-19 18:27:48 UTC
RemoteUrl: https://github.com/tjetka/slemi
RemoteRef: HEAD
RemoteSha: 41d194fc031aa7b51d6d65e06ad3037f6e5d2251
NeedsCompilation: no
Packaged: 2026-07-02 09:06:19 UTC; root
Author: Tomasz Jetka [aut, cre],
  Karol Nienaltowski [ctb],
  Michal Komorowski [ctb]
Maintainer: Tomasz Jetka <t.jetka@gmail.com>