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-4.5)mpmi_0.4.zip(r-4.4)mpmi_0.4.zip(r-4.3)
mpmi_0.4.tgz(r-4.4-x86_64)mpmi_0.4.tgz(r-4.4-arm64)mpmi_0.4.tgz(r-4.3-x86_64)mpmi_0.4.tgz(r-4.3-arm64)
mpmi_0.4.tar.gz(r-4.5-noble)mpmi_0.4.tar.gz(r-4.4-noble)
mpmi.pdf |mpmi.html✨
mpmi/json (API)
NEWS

# Install 'mpmi' in R:
install.packages('mpmi', repos = c('https://r-forge.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
Datasets:
  • cts - A group of simulated continuous variables
  • disc - A group of simulated categorical (discrete) variables

On CRAN:

3.51 score 32 scripts 273 downloads 13 exports 1 dependencies

Last updated 11 years agofrom:dcf44adc48. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64NOTENov 05 2024
R-4.5-linux-x86_64NOTENov 05 2024
R-4.4-win-x86_64NOTENov 05 2024
R-4.4-mac-x86_64NOTENov 05 2024
R-4.4-mac-aarch64NOTENov 05 2024
R-4.3-win-x86_64NOTENov 05 2024
R-4.3-mac-x86_64NOTENov 05 2024
R-4.3-mac-aarch64NOTENov 05 2024

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

Dependencies:KernSmooth

Introduction to mpmi

Rendered fromVignette.Rnwusingutils::Sweaveon Nov 05 2024.

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