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. |