get.model.fit: A function to fit a logistic regression model for MEDALS

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

Description

This function allows you to get a model fit using the PC scores for MEDALS

Usage

get.model.fit(score.img.list, path.mask.list, path.y.list,
  verbose = TRUE)

Arguments

score.img.list	A list of sublists, where each sublist is a list of images created from the PC scores. This can be the output of make.score.img().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 score.img.list
path.y.list	A list of paths to the lesion mask for each subject. This should be in the same order as the sublists for score.img.list
verbose	Print diagnostic messages

JMMaronge/medals documentation built on May 7, 2019, 10:12 a.m.