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, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions, as described in the paper Wang et al. (2017) <arXiv:1707.06360>.
|Author||Lu Wang [aut, cre]|
|Maintainer||Lu Wang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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