sPCAN: Sampling-based PCA on a sample of networks and calculate PCA...
In jihuilee/PCAN:

Sampling-based PCA on a sample of networks and calculate PCA contribution of variables to explaining variabilities in PCs

1 2	sPCAN(netlist, directed = FALSE, configuration, tau = NULL, K = NULL, seed = 1234, subgroup = NULL)

`netlist`	A list of networks in a form or adjacency matrix
`directed`	Default is FALSE (undirected network).
`configuration`	Collection of subgraphs (topological features)
`tau`	Minimum size of a subgraph
`K`	The number of subgraphs
`seed`	Seed number. Default is 1234.
`subgroup`	Vector of subgroup membership. Default is NULL (i.e. no subgroup).