example_data1

<p>Example dataset with a single measurement of three individuals.</p>

datasets

Functional differences between the cerebral hemispheres
are a fundamental characteristic of the human brain. Researchers
interested in studying these differences often infer underlying
hemispheric dominance for a certain function (e.g., language) from
laterality indices calculated from observed performance or brain
activation measures . However, any inference from observed measures
to latent (unobserved) classes has to consider the prior probability
of class membership in the population. The provided functions
implement a Bayesian model for predicting hemispheric dominance from
observed laterality indices (Sorensen and Westerhausen, Laterality:
Asymmetries of Body, Brain and Cognition, 2020, <doi:10.1080/1357650X.2020.1769124>).

Oystein Sorensen

BayesianLaterality

Predict Brain Asymmetry Based on Handedness and Dichotic
Listening

example_data1 function

<p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 3 rows and 2 columns.</p>

example_data1: Example dataset with a single measurement of three individuals.

Description

Usage

Arguments

Format