  Principal Moment Analysis is a method designed for dimension reduction,
analysis and visualization of high dimensional multivariate data. It
generalizes Principal Component Analysis and allows for significant statistical
modeling flexibility, when approximating an unknown underlying probability
distribution, by enabling direct analysis of general approximate measures.
Through https://principalmomentanalysis.github.io/ we provide an
implementation, together with a graphical user interface, of a simplex based
version of Principal Moment Analysis.
