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MRS  

Multi-Resolution Scanning for Cross-Sample Differences
View on CRAN: Click here


Download and install MRS package within the R console
Install from CRAN:
install.packages("MRS")

Install from Github:
library("remotes")
install_github("cran/MRS")

Install by package version:
library("remotes")
install_version("MRS", "1.2.6")



Attach the package and use:
library("MRS")
Maintained by
Li Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-07
Latest Update: 2023-12-11
Description:
An implementation of the MRS algorithm for comparison across distributions, as described in Jacopo Soriano, Li Ma (2017) . 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.
How to cite:
Li Ma (2015). MRS: Multi-Resolution Scanning for Cross-Sample Differences. R package version 1.2.6, https://cran.r-project.org/web/packages/MRS
Previous versions and publish date:
1.0 (2015-12-07 22:48), 1.1.1 (2016-07-10 12:00), 1.1 (2016-01-26 00:36), 1.2.1 (2016-07-21 19:06), 1.2.2 (2017-10-18 05:27), 1.2.3 (2018-01-07 23:36), 1.2.4 (2018-01-23 10:10), 1.2.5 (2023-12-09 23:20), 1.2 (2016-07-17 18:53)
Other packages that cited MRS R package
View MRS citation profile
Other R packages that MRS depends, imports, suggests or enhances
Functions, R codes and Examples using the MRS R package
Some associated functions: andova . mrs . plot1D . plot2D . plotTree . print.summary.mrs . summary.mrs . 
Some associated R codes: RcppExports.R . andova.R . mrs.R . plot1D.R . plot2D.R . plotTree.R . print.summary.mrs.R . summary.mrs.R .  Full MRS package functions and examples
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