discrete.mi

Compute mutual information between all rows of a matrix containing discrete
outcomes.

networks

A tool for the preparation and enrichment of health datasets for analysis (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides functionality for assessing data quality and for improving the reliability and machine interpretability of a dataset.
'eHDPrep' also enables semantic enrichment of a dataset where metavariables are discovered from the relationships between input variables determined from user-provided ontologies.

Ian Overton

eHDPrep

Quality Control and Semantic Enrichment of Datasets

Tom Toner

discrete.mi function

<dl><dt>mat</dt>
<dd>A matrix of discrete values</dd>
<dt>progress.bar</dt>
<dd>Outputs status to terminal when set to 'text', or no
status updates are output when set to <code>FALSE</code>.</dd></dl>

Arguments

Alexander Lyulph Robert Lubbock, Ian Overton

Author

Calculate mutual information of a matrix of discrete values — discrete.mi

<dl>

<dt>mat</dt>
<dd>A matrix of discrete values</dd>


<dt>progress.bar</dt>
<dd>Outputs status to terminal when set to 'text', or no
status updates are output when set to <code>FALSE</code>.</dd>

</dl>

discrete.mi: Calculate mutual information of a matrix of discrete values

Description

Usage

Value

Arguments

Author

Details