BayesianLaterality: Predict Brain Asymmetry Based on Handedness and Dichotic Listening

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>).

Version:	0.1.2
Depends:	R (≥ 2.10)
Imports:	dplyr (≥ 1.0.2), purrr (≥ 0.3.4), rlang (≥ 0.4.7), tidyr (≥ 1.1.2), tmvtnorm (≥ 1.4-10), Rdpack
Suggests:	roxygen2, testthat (≥ 2.1.0)
Published:	2023-08-19
DOI:	10.32614/CRAN.package.BayesianLaterality
Author:	Oystein Sorensen [aut, cre]
Maintainer:	Oystein Sorensen <oystein.sorensen.1985 at gmail.com>
License:	GPL-3
URL:	https://github.com/LCBC-UiO/BayesianLaterality
NeedsCompilation:	no
Citation:	BayesianLaterality citation info
In views:	Bayesian
CRAN checks:	BayesianLaterality results

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