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: |
1.0.1 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
e1071, ggplot2, ggthemes, gridExtra, nnet, Hmisc, reshape2, stringr, doParallel, caret, corrplot, foreach |
| Suggests: |
knitr, rmarkdown, testthat (≥ 2.1.0), data.table, covr |
| Published: |
2021-02-22 |
| 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: |
LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| URL: |
https://github.com/TJetka/SLEMI |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
SLEMI results |