Multiscale Graph Correlation


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Documentation for package ‘mgc’ version 1.0.1

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discr.distance Distance
discr.mnr Mean Normalized Rank
discr.rdf Reliability Density Function
discr.stat Discriminability Statistic
discr.test.one_sample Discriminability One Sample Permutation Test
discr.test.two_sample Discriminability Two Sample Permutation Test
DistCentering An auxiliary function that properly transforms the distance matrix X
DistRanks An auxiliary function that sorts the entries within each column by ascending order: For ties, the minimum ranking is used, e.g. if there are repeating distance entries, the order is like 1,2,3,3,4,..,n-1.
gen.coefs A helper function to generate a d-dimensional linear transformation matrix.
gen.x.unif A helper function to generate n samples of a d-dimensional uniform vector.
LocalCov An auxiliary function that computes all local correlations simultaneously in O(n^2).
mgc.distTransform MGC Distance Transform
mgc.ksample MGC K Sample Testing
mgc.localcorr MGC Local Correlations
mgc.sample MGC Sample
mgc.sims.cubic Cubic Simulation
mgc.sims.exp Exponential Simulation
mgc.sims.joint Joint Normal Simulation
mgc.sims.linear Linear Simulation
mgc.sims.quad Quadratic Simulation
mgc.sims.spiral Spiral Simulation
mgc.sims.step Step Function Simulation
mgc.sims.ubern Uncorrelated Bernoulli Simulation
mgc.sims.wshape W Shaped Simulation
mgc.test MGC Permutation Test
Smoothing An auxiliary function that finds the smoothed maximal within the significant region R: If area of R is too small, return the last local corr otherwise take the maximum within R.
Thresholding An auxiliary function that finds a region of significance in the local correlation map by thresholding.