data_example1

A dataset describing simple one dimensional input - one dimensional output channel 
with 500 observations per input. In addition, each observation is assigned to one of three types
that occurs with propensities (0.6,0.3,0.1), respectively 
Conditional output distributions are Gaussian.

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_example1 function

A data frame with 1500 rows and 3 variables:<dl>
<dt>signal</dt>
<dd>Label of input</dd><dt>response</dt>
<dd>The value of output</dd><dt>sideVar</dt>
<dd>Label of the type of given observation</dd>
</dl>

Format

Exemplary data set I — data_example1

A data frame with 1500 rows and 3 variables:<dl>
<dt>signal</dt>
<dd>Label of input</dd>

<dt>response</dt>
<dd>The value of output</dd>

<dt>sideVar</dt>
<dd>Label of the type of given observation</dd>


</dl>

data_example1: Exemplary data set I

Description

Usage

Arguments

Format