jacsor/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
MaintainerJacopo Soriano <[email protected]>
LicenseGPL (>= 3)
Version1.2.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jacsor/MRS")
jacsor/MRS documentation built on May 18, 2019, 9:05 a.m.