This package is considered a duplicate. The official version of this package is found at:https://r-forge.r-universe.dev/mpmi
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:
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')) |
Bug tracker:https://r-forge.r-project.org/projects/mpmi
Uses libs:
Datasets:
Last updated 1 years agofrom:9c6049b502. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 24 2024 |
| R-4.5-linux-x86_64 | OK | Dec 24 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 |
