riem.phate() is added for sub-manifold
learning/visualization.data(ERP).spd.wassbary() is added to compute Wasserstein
barycenter of Gaussian distributions.mle.spnorm() for controls with user-defined
stopping criteria.mixspnorm().riem.m2skreg() for manifold-to-scalar kernel
regression and riem.m2skregCV() for parameter selection
using cross validation.NEWS.md file to track changes to the
package.
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