Package: MRS 1.2.6

Li Ma

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.

Authors:Jacopo Soriano and Li Ma

MRS_1.2.6.tar.gz
MRS_1.2.6.zip(r-4.5)MRS_1.2.6.zip(r-4.4)MRS_1.2.6.zip(r-4.3)
MRS_1.2.6.tgz(r-4.5-x86_64)MRS_1.2.6.tgz(r-4.5-arm64)MRS_1.2.6.tgz(r-4.4-x86_64)MRS_1.2.6.tgz(r-4.4-arm64)MRS_1.2.6.tgz(r-4.3-x86_64)
MRS_1.2.6.tar.gz(r-4.5-noble)MRS_1.2.6.tar.gz(r-4.4-noble)
MRS_1.2.6.tgz(r-4.4-emscripten)MRS_1.2.6.tgz(r-4.3-emscripten)
MRS.pdf |MRS.html
MRS/json (API)

# Install 'MRS' in R:
install.packages('MRS', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

archivedpackagesr-universecpp

2.70 score 5 stars 301 downloads 13 mentions 5 exports 13 dependencies

Last updated 17 days agofrom:129bb7cfa0 (on package/MRS). Checks:10 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-win-x86_64OKFeb 03 2025
R-4.5-mac-x86_64OKFeb 03 2025
R-4.5-mac-aarch64OKFeb 03 2025
R-4.5-linux-x86_64OKFeb 03 2025
R-4.4-win-x86_64OKFeb 03 2025
R-4.4-mac-x86_64OKFeb 03 2025
R-4.4-mac-aarch64OKFeb 03 2025
R-4.3-win-x86_64OKFeb 03 2025
R-4.3-mac-x86_64OKFeb 03 2025

Exports:andovamrsplot1Dplot2DplotTree

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcppRcppArmadillorlangvctrs