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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 (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:

Reference manual: MRS.pdf

Downloads:

Package source: MRS_1.2.6.tar.gz
Windows binaries: r-devel: MRS_1.2.6.zip, r-release: MRS_1.2.6.zip, r-oldrel: MRS_1.2.6.zip
macOS binaries: r-release (arm64): MRS_1.2.6.tgz, r-oldrel (arm64): MRS_1.2.6.tgz, r-release (x86_64): MRS_1.2.6.tgz, r-oldrel (x86_64): MRS_1.2.6.tgz
Old sources: MRS archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.