networkEiganat¶

purpose:

Convenience wrapper for eigenanatomy decomposition.

description:

Decomposes a matrix into sparse eigenevectors to maximize explained variance.

usage:

networkEiganat( Xin, sparam = c(0.1, 0.1), k = 5, its = 100, gradparam = 1, mask = NA, v, prior, pgradparam = 0.01)

examples:

mat <- replicate(100, rnorm(20))

mydecom <- networkEiganat(mat)