Preliminaries | Requirements - Hardware | Requirements - Software | Installation | Citing and support | Structure of the package | Formulation of the problem | Input data | Calculation of the information capacity | Calculation of the mutual information | Calculation of the probabilities of correct discrimination | Diagnostic procedures | Additional functionalities of the function capacity_logreg_main() | Examples | Minimal example | signal="signal",response="response", #side_variables = NULL, testing=TRUE, TestingSeed = 1234, testing_cores = 6, | boot_num = 30, boot_prob = 0.8, | sidevar_num = 6, | traintest_num = 30,partition_trainfrac = 0.6) | #``` | Further step-by-step introductory examples | Examples in paper | Session Info | References
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:
SLEMI_1.0.2.tar.gz
SLEMI_1.0.2.zip(r-4.7)SLEMI_1.0.2.zip(r-4.6)SLEMI_1.0.2.zip(r-4.5)
SLEMI_1.0.2.tgz(r-4.6-any)SLEMI_1.0.2.tgz(r-4.5-any)
SLEMI_1.0.2.tar.gz(r-4.7-any)SLEMI_1.0.2.tar.gz(r-4.6-any)
SLEMI_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SLEMI/json (API)
| # 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
channel-capacityinformation-theorylogistic-regressionmutual-information-estimation
Last updated from:41d194fc03. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 166 | ||
| source / vignettes | OK | 214 | ||
| linux-release-x86_64 | NOTE | 160 | ||
| macos-release-arm64 | NOTE | 209 | ||
| macos-oldrel-arm64 | NOTE | 166 | ||
| windows-devel | NOTE | 89 | ||
| windows-release | NOTE | 97 | ||
| windows-oldrel | NOTE | 101 | ||
| wasm-release | OK | 172 |
Exports:capacity_logreg_algorithmcapacity_logreg_maincapacity_logreg_testingmi_logreg_algorithmmi_logreg_mainmi_logreg_testingprob_discr_pairwise
Dependencies:backportsbase64encbslibcachemcaretcheckmateclasscliclockclustercodetoolscolorspacecorrplotcpp11data.tablediagramdigestdoParalleldplyre1071evaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsggplot2globalsgluegowergridExtragtablehardhathighrHmischtmlTablehtmltoolshtmlwidgetsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemimeModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rlangrmarkdownrpartrstudioapiS7sassscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunyaml
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 |
