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-4.5-noble)mpmi_0.43.2.1.tar.gz(r-4.4-noble)
mpmi.pdf |mpmi.html✨
mpmi/json (API)
NEWS

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

Peer review:

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

2.51 score 32 scripts 317 downloads 13 exports 1 dependencies

Last updated 1 years agofrom:9c6049b502. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024

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

Dependencies:KernSmooth

Introduction to mpmi

Rendered fromVignette.Rnwusingutils::Sweaveon Oct 25 2024.

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