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MRS: Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences

Implements the multi-resolution scanning (MRS) method for cross-sample distribution comparisons, as described in Soriano and Ma (2017) <doi:10.1111/rssb.12180>, and the analysis of distributional variation (ANDOVA) method for cross-group comparisons introduced in Ma and Soriano (2018) <doi:10.1080/10618600.2017.1402774>. Both methods use nonparametric models on multi-resolution partition trees to detect and characterize differences among distributions, with tools for visualizing the results.

Version: 1.3.2
Imports: Rcpp (≥ 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: KernSmooth, testthat (≥ 3.0.0)
Published: 2026-07-22
DOI: 10.32614/CRAN.package.MRS
Author: Jacopo Soriano [aut], Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab at gmail.com>
BugReports: https://github.com/MaStatLab/MRS/issues
License: GPL (≥ 3)
URL: https://github.com/MaStatLab/MRS
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: MRS results

Documentation:

Reference manual: MRS.html , MRS.pdf

Downloads:

Package source: MRS_1.3.2.tar.gz
Windows binaries: r-devel: not available, r-release: MRS_1.3.2.zip, r-oldrel: not available
macOS binaries: r-release (arm64): MRS_1.3.2.tgz, r-oldrel (arm64): MRS_1.3.2.tgz, r-release (x86_64): MRS_1.3.2.tgz, r-oldrel (x86_64): MRS_1.3.2.tgz
Old sources: MRS archive

Linking:

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

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.
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