Specific dimension reduction methods for replicated graphs (multiple undirected graphs repeatedly measured on a common set of nodes). The package contains efficient procedures for estimating a shared baseline propensity matrix and graph-specific low rank matrices. The algorithm uses block coordinate descent algorithm to solve the model as described in the paper linked to via the URL below, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions.
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