CRAN/E | SLEMI

SLEMI

Statistical Learning Based Estimation of Mutual Information

Installation

About

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.

github.com/TJetka/SLEMI
Bug report File report

Key Metrics

Version 1.0.2
R ≥ 3.6.0
Published 2023-11-19 131 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks SLEMI results

Downloads

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Last 30 days 216 -12%
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Last 365 days 2.770 +10%

Maintainer

Maintainer

Tomasz Jetka

t.jetka@gmail.com

Authors

Tomasz Jetka

aut / cre

Karol Nienaltowski

ctb

Michal Komorowski

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

SLEMI User Manual

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SLEMI archive

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