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 |
| Depends: | R (≥ 3.6.0) |
| Imports: | e1071, ggplot2, ggthemes, gridExtra, nnet, Hmisc, reshape2, stringr, doParallel, caret, corrplot, foreach |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-10-07 |
| Author: | Tomasz Jetka [aut, cre], Karol Nienaltowski [ctb], Michal Komorowski [ctb] |
| Maintainer: | Tomasz Jetka <t.jetka at gmail.com> |
| BugReports: | https://github.com/sysbiosig/SLEMI/issues |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)] |
| URL: | https://github.com/sysbiosig/SLEMI |
| NeedsCompilation: | no |
| CRAN checks: | SLEMI results |
| Reference manual: | SLEMI.pdf |
| Vignettes: |
SLEMI User Manual |
| Package source: | SLEMI_1.0.tar.gz |
| Windows binaries: | r-devel: SLEMI_1.0.zip, r-release: SLEMI_1.0.zip, r-oldrel: SLEMI_1.0.zip |
| macOS binaries: | r-release: SLEMI_1.0.tgz, r-oldrel: SLEMI_1.0.tgz |
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