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: 0.1.0
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: 2020-09-22
Author: Oystein Sorensen
Maintainer: Oystein Sorensen <oystein.sorensen.1985 at>
License: GPL-3
NeedsCompilation: no
Citation: BayesianLaterality citation info
Materials: NEWS
CRAN checks: BayesianLaterality results


Reference manual: BayesianLaterality.pdf
Package source: BayesianLaterality_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesianLaterality_0.1.0.tgz, r-release (x86_64): BayesianLaterality_0.1.0.tgz, r-oldrel: BayesianLaterality_0.1.0.tgz


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