Computing Statistically-Equivalent Path Models


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Documentation for package ‘SEset’ version 1.0.1

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cov_to_path Path model from covariance matrix with ordering
find_parents Return parent indices from a (weighted) DAG for a given child
get_psi Calculate residual-covariance matrix based on a path model and covariance matrix
network_to_path Path model from ordered precision matrix
network_to_SEset SE-set from precision matrix
order_gen Generate all topological orderings
path_to_network Precision matrix from ordered path model
propcal Edge frequency in the SE-set
r2_distribution Compute Controllability Distribution in the SE-set
reorder_mat Re-order rows and columns
riskcor Cognitive risk sample correlation matrix
SEset_to_network Precision matrices from the SEset