Package: mpmi 0.4

Chris Pardy

mpmi: Mixed-pair mutual information estimators

Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets.

Authors:Chris Pardy

mpmi_0.4.tar.gz
mpmi_0.4.zip(r-4.7)mpmi_0.4.zip(r-4.6)mpmi_0.4.zip(r-4.5)
mpmi_0.4.tgz(r-4.6-x86_64)mpmi_0.4.tgz(r-4.6-arm64)mpmi_0.4.tgz(r-4.5-x86_64)mpmi_0.4.tgz(r-4.5-arm64)
mpmi_0.4.tar.gz(r-4.7-arm64)mpmi_0.4.tar.gz(r-4.7-x86_64)mpmi_0.4.tar.gz(r-4.6-arm64)mpmi_0.4.tar.gz(r-4.6-x86_64)
mpmi_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mpmi/json (API)

# Install 'mpmi' in R:

install.packages('mpmi', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/mpmi

Uses libs:

fortran– Runtime library for GNU Fortran applications

Datasets:

cts - A group of simulated continuous variables
disc - A group of simulated categorical (discrete) variables

On CRAN:

fortran

3.65 score 45 scripts 313 downloads 13 exports 1 dependencies

Last updated from:dcf44adc48. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	124
linux-devel-x86_64	NOTE	154
source / vignettes	OK	156
linux-release-arm64	NOTE	116
linux-release-x86_64	NOTE	145
macos-release-arm64	NOTE	96
macos-release-x86_64	NOTE	201
macos-oldrel-arm64	NOTE	86
macos-oldrel-x86_64	NOTE	295
windows-devel	NOTE	103
windows-release	NOTE	132
windows-oldrel	NOTE	73
wasm-release	OK	91

Exports:cmi cmi.pw cminjk cminjk.pw dmi dmi.pw dminjk dminjk.pw mmi mmi.pw mminjk mminjk.pw mp

Dependencies:KernSmooth

Introduction to mpmi

Rendered fromVignette.Rnwusingutils::Sweave

Last update: 2013-10-16
Started: 2013-10-08

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate BCMI between a set of continuous variables	cmi cmi.pw cminjk cminjk.pw
A group of simulated continuous variables	cts
A group of simulated categorical (discrete) variables	disc
Calculate BCMI for categorical (discrete) data	dmi dmi.pw dminjk dminjk.pw
Calculate mixed-pair BCMI between a set of continuous variables and a set of discrete variables.	mmi mmi.pw mminjk mminjk.pw
Matrix Plot	mp