Independent Multiple-Sample Greedy Equivalence Search
Implementation // 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. 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' package.