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:
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')) |
Bug tracker:https://r-forge.r-project.org/projects/mpmi
Last updated 11 years agofrom:dcf44adc48. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 05 2024 |
R-4.5-win-x86_64 | NOTE | Dec 05 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 05 2024 |
R-4.4-win-x86_64 | NOTE | Dec 05 2024 |
R-4.4-mac-x86_64 | NOTE | Dec 05 2024 |
R-4.4-mac-aarch64 | NOTE | Dec 05 2024 |
R-4.3-win-x86_64 | NOTE | Dec 05 2024 |
R-4.3-mac-x86_64 | NOTE | Dec 05 2024 |
R-4.3-mac-aarch64 | NOTE | Dec 05 2024 |
Exports:cmicmi.pwcminjkcminjk.pwdmidmi.pwdminjkdminjk.pwmmimmi.pwmminjkmminjk.pwmp
Dependencies:KernSmooth
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate BCMI between a set of continuous variables | cmi cmi.pw cminjk cminjk.pw |
A group of simulated continuous variables | cts |
A group of simulated categorical (discrete) variables | disc |
Calculate BCMI for categorical (discrete) data | dmi dmi.pw dminjk dminjk.pw |
Calculate mixed-pair BCMI between a set of continuous variables and a set of discrete variables. | mmi mmi.pw mminjk mminjk.pw |
Matrix Plot | mp |