Connectionists: IMaGES CRAN package for graph brain connectivity identification

[Stephen José Hanson]

This is a new implementation and update for IMaGES: Functions for the 
implementation of Independent Multiple-sample Greedy Equivalence Search 
(IMaGES), a causal inference algorithm for creating aggregate graphs and 
structural equation modeling data for one or more datasets. This package 
is useful for time series data with specific regions of interest. This 
implementation is inspired by the paper "Six problems for causal 
inference from fMRI" by Ramsey, Hanson, Hanson, Halchenko, Poldrack, and 
Glymour (2010) <doi:10.1016/j.neuroimage.2009.08.065 
<https://doi.org/10.1016/j.neuroimage.2009.08.065>>. The IMaGES 
algorithm uses a modified BIC score to compute goodness of fit of edge 
additions, subtractions, and turns across all datasets and returns a 
representative graph, along with structural equation modeling data for 
the global graph and individual datasets, means, and standard errors. 
Functions for plotting the resulting graph(s) are provided. This package 
is built upon the 'pcalg' packageand can be found here:

https://cran.r-project.org/web/packages/IMaGES/index.html

-- 
Stephen José Hanson
Professor
Director RUBIC (University-Wide)
Department of Psychology (NK)
Cognitive Science Center (NB)

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