networkEiganat: Convenience wrapper for eigenanatomy decomposition.

In stnava/itkImageR: Examples using Rcpp to interface R and ITK

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)

Arguments

inmatrix	n by p input images , subjects or time points by row , spatial variable lies along columns
inmask	optional antsImage mask
other params	see sccan for other parameters

Value

outputs a decomposition of a population or time series matrix

Author(s)

Avants BB

Examples

## Not run: 
mat<-replicate(100, rnorm(20)) 
mydecom<-networkEiganat( mat ) 

## End(Not run)

stnava/itkImageR documentation built on May 30, 2019, 7:21 p.m.