Package: SLEMI 1.0.2

SLEMI: Statistical Learning Based Estimation of Mutual Information

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>.

Authors:Tomasz Jetka [aut, cre], Karol Nienaltowski [ctb], Michal Komorowski [ctb]

SLEMI_1.0.2.tar.gz
SLEMI_1.0.2.zip(r-4.5)SLEMI_1.0.2.zip(r-4.4)SLEMI_1.0.2.zip(r-4.3)
SLEMI_1.0.2.tgz(r-4.4-any)SLEMI_1.0.2.tgz(r-4.3-any)
SLEMI_1.0.2.tar.gz(r-4.5-noble)SLEMI_1.0.2.tar.gz(r-4.4-noble)
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SLEMI.pdf |SLEMI.html✨
SLEMI/json (API)
NEWS

# Install 'SLEMI' in R:

install.packages('SLEMI', repos = c('https://tjetka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tjetka/slemi/issues

Datasets:

data_nfkb - Data from experiment with NFkB pathway

On CRAN:

channel-capacity information-theory logistic-regression mutual-information-estimation

7 exports 4 stars 1.53 score 108 dependencies 2 mentions 21 scripts 218 downloads

Last updated 10 months agofrom:41d194fc03. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 14 2024
R-4.5-win	NOTE	Sep 14 2024
R-4.5-linux	NOTE	Sep 14 2024
R-4.4-win	NOTE	Sep 14 2024
R-4.4-mac	NOTE	Sep 14 2024
R-4.3-win	NOTE	Sep 14 2024
R-4.3-mac	NOTE	Sep 14 2024

Exports:capacity_logreg_algorithm capacity_logreg_main capacity_logreg_testing mi_logreg_algorithm mi_logreg_main mi_logreg_testing prob_discr_pairwise

Dependencies:backports base64enc bslib cachem caret checkmate class cli clock cluster codetools colorspace corrplot cpp11 data.table diagram digest doParallel dplyr e1071 evaluate fansi farver fastmap fontawesome foreach foreign Formula fs future future.apply generics ggplot2 globals glue gower gridExtra gtable hardhat highr Hmisc htmlTable htmltools htmlwidgets ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lubridate magrittr MASS Matrix memoise mgcv mime ModelMetrics munsell nlme nnet numDeriv parallelly pillar pkgconfig plyr pROC prodlim progressr proxy purrr R6 rappdirs RColorBrewer Rcpp recipes reshape2 rlang rmarkdown rpart rstudioapi sass scales shape SQUAREM stringi stringr survival tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridis viridisLite withr xfun yaml

Statistical Learning based Estimation of the Mutual Information (SLEMI) - R package

T. Jetka^[author and maintainer, please contact via t.jetka a t gmail.com], K. Nienałtowski, M. Komorowski

Rendered fromvignette.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2023-11-19
Started: 2020-12-15

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Main algorithm to calculate channel capacity by SLEMI approach	capacity_logreg_algorithm
Estimate channel capacity between discrete input and continuous output	capacity_logreg_main
Data from experiment with NFkB pathway	data_nfkb
Main algorithm to calculate mutual information by SLEMI approach	mi_logreg_algorithm
Estimate mutual information between discrete input and continuous output	mi_logreg_main
Calculates Probability of pairwise discrimination	prob_discr_pairwise