formulaFalseNeg: Generate class labels by a noisy formula with high false...

In ddgraph: Distinguish direct and indirect interactions with Graphical Modelling

Description

Generate class labels by using the readout mechanism. Logical formula is applied to two variables which are read out from the real data using the var1 and var2 probabilities. This only works with binary variables.

Usage

formulaFalseNeg(data, var1, var2, false.neg, logical.formula)

Arguments

data	a matrix or data.frame containing binary observations (columns are variables)
var1	index or name of the first variable
var2	index or name of the second variable
false.neg	a false negative probability
logical.formula	logical formula to apply

Value

a binary vector containing the class labels

Examples

# noisy OR function with 0.1 probability of error for reading "a" and "b" (error in both 1 and 0)
data <- cbind("a"=c(0,0,1,1), "b"=c(0,1,0,1))
formulaFalseNeg(data, "a", "b", 0.8, "a | b")

ddgraph documentation built on Nov. 17, 2017, 10:50 a.m.