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: | 0.43.1 |
Depends: | R (≥ 3.6.2), KernSmooth |
Published: | 2020-04-24 |
Author: | Chris Pardy |
Maintainer: | Chris Pardy <cooliomcdude at gmail.com> |
License: | GPL-3 |
URL: | http://r-forge.r-project.org/projects/mpmi/ |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | mpmi results |
Reference manual: | mpmi.pdf |
Vignettes: |
Introduction to mpmi |
Package source: | mpmi_0.43.1.tar.gz |
Windows binaries: | r-devel: mpmi_0.43.1.zip, r-release: mpmi_0.43.1.zip, r-oldrel: mpmi_0.43.1.zip |
macOS binaries: | r-release: mpmi_0.43.1.tgz, r-oldrel: mpmi_0.43.tgz |
Old sources: | mpmi archive |
Reverse imports: | fsMTS, MetNet, psSubpathway |
Reverse suggests: | Corbi |
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