SLEMI

SLEMI-package

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) tools:::Rd_expr_doi("10.1371/journal.pcbi.1007132").

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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>.

Tomasz Jetka

Statistical Learning Based Estimation of Mutual Information

Karol Nienaltowski

Michal Komorowski

SLEMI-package function

Maintainer: Tomasz Jetka <a href="/link/t.jetka%40gmail.com?package=SLEMI&version=1.0.2" data-mini-rdoc="SLEMI::t.jetka@gmail.com">t.jetka@gmail.com</a>
Other contributors:<ul>
<li>Karol Nienaltowski [contributor]</li>
<li>Michal Komorowski [contributor]</li>
</ul>

Author

SLEMI: Statistical Learning Based Estimation of Mutual Information — SLEMI-package

Maintainer: Tomasz Jetka <a href='mailto:t.jetka@gmail.com'>t.jetka@gmail.com</a>
Other contributors:<ul>
<li>Karol Nienaltowski [contributor]</li>
<li>Michal Komorowski [contributor]</li>
</ul>

SLEMI-package: SLEMI: Statistical Learning Based Estimation of Mutual Information

Description

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Author

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