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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: | 1.0.2 |
Depends: | R (≥ 3.6.0) |
Imports: | e1071, ggplot2, gridExtra, nnet, Hmisc, reshape2, stringr, doParallel, caret, corrplot, foreach, methods |
Suggests: | knitr, rmarkdown, testthat (≥ 2.1.0), data.table, covr |
Published: | 2023-11-19 |
DOI: | 10.32614/CRAN.package.SLEMI |
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: | GPL (≥ 3) |
URL: | https://github.com/TJetka/SLEMI |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | SLEMI results |
Reference manual: | SLEMI.pdf |
Vignettes: |
SLEMI User Manual |
Package source: | SLEMI_1.0.2.tar.gz |
Windows binaries: | r-devel: SLEMI_1.0.2.zip, r-release: SLEMI_1.0.2.zip, r-oldrel: SLEMI_1.0.2.zip |
macOS binaries: | r-release (arm64): SLEMI_1.0.2.tgz, r-oldrel (arm64): SLEMI_1.0.2.tgz, r-release (x86_64): SLEMI_1.0.2.tgz, r-oldrel (x86_64): SLEMI_1.0.2.tgz |
Old sources: | SLEMI archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.