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.

Version: 0.43.2
Depends: R (≥ 3.6.2), KernSmooth
Published: 2022-03-28
Author: Chris Pardy
Maintainer: Chris Pardy <cooliomcdude at gmail.com>
License: GPL-3
URL: https://r-forge.r-project.org/projects/mpmi/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: mpmi results

Documentation:

Reference manual: mpmi.pdf
Vignettes: Introduction to mpmi

Downloads:

Package source: mpmi_0.43.2.tar.gz
Windows binaries: r-devel: mpmi_0.43.2.zip, r-release: mpmi_0.43.2.zip, r-oldrel: mpmi_0.43.1.zip
macOS binaries: r-release (arm64): mpmi_0.43.2.tgz, r-oldrel (arm64): mpmi_0.43.2.tgz, r-release (x86_64): mpmi_0.43.2.tgz, r-oldrel (x86_64): mpmi_0.43.2.tgz
Old sources: mpmi archive

Reverse dependencies:

Reverse imports: fsMTS, psSubpathway
Reverse suggests: Corbi

Linking:

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