MRS: Multi-Resolution Scanning for Cross-Sample Differences

An implementation of the MRS algorithm for comparison across distributions. 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.

AuthorJacopo Soriano and Li Ma
Date of publication2016-07-21 19:06:29
MaintainerJacopo Soriano <jsoriano.stat@gmail.com>
LicenseGPL (>= 3)
Version1.2.1

View on CRAN

Files

MRS
MRS/src
MRS/src/Makevars
MRS/src/recursion.h
MRS/src/helpers.cpp
MRS/src/recursion.cpp
MRS/src/main.cpp
MRS/src/helpers.h
MRS/src/Makevars.win
MRS/src/RcppExports.cpp
MRS/NAMESPACE
MRS/R
MRS/R/summary.mrs.R MRS/R/plotTree.R MRS/R/print.summary.mrs.R MRS/R/RcppExports.R MRS/R/plot1D.R MRS/R/plot2D.R MRS/R/andova.R MRS/R/mrs.R
MRS/MD5
MRS/DESCRIPTION
MRS/man
MRS/man/summary.mrs.Rd MRS/man/andova.Rd MRS/man/mrs.Rd MRS/man/plotTree.Rd MRS/man/print.summary.mrs.Rd MRS/man/plot2D.Rd MRS/man/plot1D.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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