data_example2

A dataset describing a channel with 3 possible inputs and 3-dimensional output
with 500 observations per input.
Conditional output distributions are multivariate Gaussians.

internal

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

SLEMI

Statistical Learning Based Estimation of Mutual Information

Karol Nienaltowski

Michal Komorowski

data_example2 function

A data frame with 1500 rows and 4 variables:<dl>
<dt>signal</dt>
<dd>Label of input</dd><dt>X1</dt>
<dd>The value of first dimension of output</dd><dt>X2</dt>
<dd>The value of second dimension of output</dd><dt>X3</dt>
<dd>The value of third dimension of output</dd>
</dl>

Format

Exemplary data set II — data_example2

A data frame with 1500 rows and 4 variables:<dl>
<dt>signal</dt>
<dd>Label of input</dd>

<dt>X1</dt>
<dd>The value of first dimension of output</dd>

<dt>X2</dt>
<dd>The value of second dimension of output</dd>

<dt>X3</dt>
<dd>The value of third dimension of output</dd>


</dl>

data_example2: Exemplary data set II

Description

Usage

Arguments

Format