Package: MRS 1.3.2

Li Ma

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.

Authors:Jacopo Soriano [aut], Li Ma [aut, cre]

MRS_1.3.2.tar.gz
MRS_1.3.2.zip(r-4.7-x86_64)MRS_1.3.2.zip(r-4.6-x86_64)MRS_1.3.2.zip(r-4.5-x86_64)
MRS_1.3.2.tgz(r-4.6-x86_64)MRS_1.3.2.tgz(r-4.6-arm64)MRS_1.3.2.tgz(r-4.5-x86_64)MRS_1.3.2.tgz(r-4.5-arm64)
MRS_1.3.2.tar.gz(r-4.7-arm64)MRS_1.3.2.tar.gz(r-4.7-x86_64)MRS_1.3.2.tar.gz(r-4.6-arm64)MRS_1.3.2.tar.gz(r-4.6-x86_64)
MRS_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MRS/json (API)

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

Bug tracker:https://github.com/mastatlab/mrs/issues

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

On CRAN:

Conda:

cpp

4.00 score 30 downloads 13 mentions 6 exports 2 dependencies

Last updated from:38bc1f8f9d. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK167
linux-devel-x86_64OK133
source / vignettesOK182
linux-release-arm64OK121
linux-release-x86_64OK139
macos-release-arm64OK200
macos-release-x86_64OK248
macos-oldrel-arm64OK160
macos-oldrel-x86_64OK430
windows-devel-x86_64OK135
windows-release-x86_64OK121
windows-oldrel-x86_64OK128
wasm-releaseOK121

Exports:andovamrsplot1Dplot1DSigWindowsplot2DplotTree

Dependencies:RcppRcppArmadillo