MRS: Multi-Resolution Scanning for Cross-Sample Differences
An implementation of the MRS algorithm for comparison across distributions,
as described in Jacopo Soriano, Li Ma (2016) <doi:10.1111/rssb.12180>.
The model is based on a nonparametric process taking the form of a Markov model
that transitions between a "null" and an "alternative" state
on a multi-resolution partition tree of the sample space.
MRS effectively detects and characterizes a variety of underlying differences.
These differences can be visualized using several plotting functions.
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