aux_theme_publ

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

aux_theme_publ function

<dl><dt>base_size</dt>
<dd>integer that sets the default size of font used in the plot</dd>
<dt>base_family</dt>
<dd>character that indicates what type of font should be used</dd>
<dt>version</dt>
<dd>integer that changes the characteristic of the plot, values 1,2 and 3 accepted.</dd></dl>

Arguments

Tuning GGplot Themes — aux_theme_publ

<dl>

<dt>base_size</dt>
<dd>integer that sets the default size of font used in the plot</dd>


<dt>base_family</dt>
<dd>character that indicates what type of font should be used</dd>


<dt>version</dt>
<dd>integer that changes the characteristic of the plot, values 1,2 and 3 accepted.</dd>

</dl>

aux_theme_publ: Tuning GGplot Themes

Description

Usage

Arguments

Details

Examples