DESCRIPTION

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