Package: mpmi 0.43.2.1

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_0.43.2.1.tar.gz
mpmi_0.43.2.1.tar.gz(r-4.7-arm64)mpmi_0.43.2.1.tar.gz(r-4.7-x86_64)mpmi_0.43.2.1.tar.gz(r-4.6-arm64)mpmi_0.43.2.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
mpmi/json (API)
NEWS

# Install 'mpmi' in R:
install.packages('mpmi', repos = c('https://cran.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
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • cts - A group of simulated continuous variables
  • disc - A group of simulated categorical (discrete) variables

On CRAN:

Conda:

fortranopenmp

2.65 score 45 scripts 347 downloads 13 exports 1 dependencies

Last updated from:9c6049b502. Checks:5 OK, 1 FAIL. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK101
linux-devel-x86_64OK103
source / vignettesOK197
linux-release-arm64OK95
linux-release-x86_64OK99
wasm-releaseFAIL97

Exports:cmicmi.pwcminjkcminjk.pwdmidmi.pwdminjkdminjk.pwmmimmi.pwmminjkmminjk.pwmp

Dependencies:KernSmooth

Introduction to mpmi

Rendered fromVignette.Rnwusingutils::Sweaveon Jun 17 2026.

Last update: 2014-09-22
Started: 2012-01-11