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.

Getting started

Package details

AuthorJacopo Soriano and Li Ma
MaintainerLi Ma <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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MRS documentation built on May 2, 2019, 1:51 a.m.