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.
Author  Chris Pardy 
Date of publication  20131105 03:38:02 
Maintainer  Chris Pardy <cpardy@unsw.edu.au> 
License  GPL3 
Version  0.4 
URL  http://rforge.rproject.org/projects/mpmi/ 
Package repository  View on RForge 
Installation  Install the latest version of this package by entering the following in R:

All man pages Function index File listing
Man pages  

cmi: Calculate BCMI between a set of continuous variables  
cts: A group of simulated continuous variables  
disc: A group of simulated categorical (discrete) variables  
dmi: Calculate BCMI for categorical (discrete) data  
mmi: Calculate mixedpair BCMI between a set of continuous...  
mp: Matrix Plot 
Functions 

Files  

COPYING
 
DESCRIPTION
 
NAMESPACE
 
NEWS
 
R
 
R/cmi.R  
R/cminjk.R  
R/dmif.R  
R/dpikSafe.R  
R/mmi.R  
R/mminjk.R  
R/mp.R  
build
 
build/vignette.rds
 
data
 
data/mpmidata.RData
 
inst
 
inst/doc
 
inst/doc/Vignette.R  
inst/doc/Vignette.Rnw
 
inst/doc/Vignette.pdf
 
man
 
man/cmi.Rd  
man/cts.Rd  
man/disc.Rd  
man/dmi.Rd  
man/mmi.Rd  
man/mp.Rd  
src
 
src/10iface.f95
 
src/Makevars
 
src/cmi.f95
 
src/cminjk.f95
 
src/dmi.f95
 
src/iface.mod
 
src/mmi.f95
 
src/mminjk.f95
 
src/nawrap.c
 
vignettes
 
vignettes/Vignette.Rnw

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