moment.cor.mat: A function to calculate sufficient statistics and out...

In neuroconductor/medals: Performs Memory Efficient Decomposition for Analysis of Local neighborhood moments for Segmentation

Description

This function allows you to calculate the sufficient statistics to center and scale each column in the huge (long) matrix X for medals, then outputs the center and scaled cross product matrices. This should be the first step of the MEDALS pipeline

Usage

moment.cor.mat(path.img.list, path.mask.list, mpower = 4,
  verbose = TRUE)

Arguments

path.img.list	A list of sublists, where each sublist is a list of paths to the files for each imaging modality (ex. T1w, T2w, DWI, etc.) for a particular subject. This has to contain at least one sublist
path.mask.list	A list of paths to the brain mask for each subject. This should be in the same order as the sublists for path.img.list
mpower	A scalar specifying the highest moment wanted for the MEDALS analysis. (Should be at least 1)
verbose	print diagnostic messages

neuroconductor/medals documentation built on Oct. 18, 2020, 11:51 a.m.