disc

<p>50 observations on each of 75 categorical variables. These variables are 
designed to be similar to categorical single nucleotide polymorphism (SNP) data
which have 3 categories (A, H and B where H represents a heterozygous mutation). 
There are no associations between any of the variables. The variables are stored 
as characters. See the vignette for details</p>

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.

Chris Pardy

mpmi

Mixed-Pair Mutual Information Estimators

disc function

<p>A matrix of characters with 50 rows and 75 columns</p>

disc: A group of simulated categorical (discrete) variables

Description

Usage

Arguments

Format