Package: SLEMI
Title: Statistical Learning Based Estimation of Mutual Information
Version: 1.0.1
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, ggthemes, gridExtra, nnet, Hmisc, reshape2,
        stringr, doParallel, caret, corrplot, foreach
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), data.table, covr
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-22 10:18:09 UTC; tjetka
Author: Tomasz Jetka [aut, cre],
  Karol Nienaltowski [ctb],
  Michal Komorowski [ctb]
Maintainer: Tomasz Jetka <t.jetka@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-22 11:10:07 UTC
Built: R 4.1.0; ; 2021-05-28 09:05:18 UTC; unix
