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.

Version:	1.2.4
Imports:	Rcpp (≥ 0.11.0), igraph
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	KernSmooth
Published:	2018-01-23
Author:	Jacopo Soriano and Li Ma
Maintainer:	Li Ma <li.ma at duke.edu>
License:	GPL (≥ 3)
NeedsCompilation:	yes
CRAN checks:	MRS results

Documentation:

Reference manual:

MRS.pdf

Downloads:

Package source:	MRS_1.2.4.tar.gz
Windows binaries:	r-devel: MRS_1.2.4.zip, r-release: MRS_1.2.4.zip, r-oldrel: MRS_1.2.4.zip
macOS binaries:	r-release (arm64): MRS_1.2.4.tgz, r-oldrel (arm64): MRS_1.2.4.tgz, r-release (x86_64): MRS_1.2.4.tgz, r-oldrel (x86_64): MRS_1.2.4.tgz
Old sources:	MRS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MRS to link to this page.