<p>Data from Human Connectome Project (HCP). The brain is segmented into 68
regions. Each subject's binary network consists of a collection of inter-
connections among those brain regions, with ones indicate a connection between a
pair of regions and zeros indicate no connection.</p>

datasets

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>.

Lu Wang

CISE

Common and Individual Structure Explained for Multiple Graphs

A function

<p>An object of class <code>array</code> of dimension 68 x 68 x 212.</p>

A: Adjacency matrices of binary brain networks for 212 subjects

Description

Usage

Arguments

Format

References