Performs Memory Efficient Decomposition for Analysis of Local neighborhood moments for Segmentation


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Documentation for package ‘medals’ version 0.3.0

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def.fit Default fit for medals
def.fit.2 Default fit of order 2 for medals
def.loads Default loadings for medals
def.loads.2 Default loadings for 2nd order medals
get.img.moment.dat A function to calculate the matrix of neighborhood moments for a subject MEDALS
get.loadings A function to create the loadings matrix for MEDALS.
get.model.fit A function to fit a logistic regression model for MEDALS
make.pred.img A function to make prediction images for MEDALS
make.score.img A function to create score images for each subject for MEDALS.
moment.cor.mat A function to calculate sufficient statistics and out cross-product matrix efficiently for medals
pc.var A function to calculate variance explained by each Principal Component for MEDALS
strip.model A function to strip model fits of all but coefficient estimates