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.">

MRS: Multi-Resolution Scanning for Cross-Sample Differences (original) (raw)

An implementation of the MRS algorithm for comparison across distributions, as described in Jacopo Soriano, Li Ma (2017) <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.

Version: 1.2.6
Imports: Rcpp (≥ 0.11.0), igraph, methods
LinkingTo: Rcpp, RcppArmadillo
Suggests: KernSmooth
Published: 2023-12-11
DOI: 10.32614/CRAN.package.MRS
Author: Jacopo Soriano and Li Ma
Maintainer: Li Ma <li.ma at duke.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: MRS results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MRSto link to this page.