knitr, readxl, xlsx, stats, graphics, tcltk, grDevices,
ggplot2, methods, car, crayon, DiagrammeR, bridgesampling,
rhandsontable, shiny
rmarkdown, rstantools, openxlsx, hexbin, MASS, ggmcmc,
magrittr

knitr, readxl, xlsx, stats, graphics, tcltk, grDevices,
ggplot2, methods, car, crayon, DiagrammeR, bridgesampling,
rhandsontable, shiny, pracma, shinydashboard

knitr, readxl, xlsx, stats, graphics, tcltk, grDevices,
ggplot2, methods, car, crayon, DiagrammeR, bridgesampling,
rhandsontable, shiny, pracma, shinydashboard, shinythemes

openxlsx, hexbin, MASS, ggmcmc, magrittr

openxlsx, hexbin, MASS, ggmcmc, magrittr, markdown

openxlsx, hexbin, MASS, magrittr, markdown, rmarkdown

knitr, readxl, xlsx, stats, graphics, tcltk, grDevices,
ggplot2, methods, car, crayon, bridgesampling, rhandsontable,
shiny, pracma, shinydashboard, shinythemes

knitr, stats, graphics, tcltk, grDevices, ggplot2, methods,
car, crayon, bridgesampling, rhandsontable, shiny, pracma,
shinydashboard, shinythemes, fastDummies, shinyjs
hexbin, MASS, magrittr, markdown, rmarkdown

c(person("Patrick","Trainor",email="patrick.trainor@louisville.edu", role = c("aut", "cre")),person("Hao","Wang",email="haowang@msu.edu",role="aut"))
Implements a data-augmented block Gibbs sampler for simulating the posterior distribution of concentration matrices for specifying the topology and parameterization of a Gaussian Graphical Model (GGM). This sampler was originally proposed in Wang (2012) <doi:10.1214/12-BA729>.
Patrick Trainor [aut, cre],
Hao Wang [aut]

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>).