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 gmail.com> |
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: BayesianLaterality_0.1.0.zip, r-release: BayesianLaterality_0.1.0.zip, r-oldrel: BayesianLaterality_0.1.0.zip |
macOS binaries: | r-release: BayesianLaterality_0.1.0.tgz, r-oldrel: BayesianLaterality_0.1.0.tgz |
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