mount.wl.bl.list {bnpa}

Mounts a white or black list

Description

This function receives a simple list with one or more couple of variables and mount a new data frame in "bnlearn" syntax. The final result must return an object similar to the result of bnlearn command "data.frame(from = c('B', 'F'), to = c('F', 'B'))" that is more complex syntax.

Usage

mount.wl.bl.list(black_or_white_list)

Arguments

black_or_white_list

is a list of couple of variables.

Value

A new data frame with the 'from' and 'to' variables

Author(s)

Elias Carvalho

References

Scutari M (2017). Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimized Implementations in the bnlearn R Package. Journal of Statistical Software, 77(2), 1-20.

Examples

# Clean environment
closeAllConnections()
rm(list=ls())
# Set enviroment
# setwd("To your working directory")
# Load packages
library(bnpa)
library(bnlearn)
# Load data sets from package
data(dataQuantC)
# Show the first lines of data
head(dataQuantC)
# Learn the BN structure without black and white list
bn.structure <- hc(dataQuantC)
# Split graph panel in 2 columns
par(mfrow=c(1,2))
# Show the BN structure
bnlearn::graphviz.plot(bn.structure)
# Mounting the black list
black.list <- ("A-C,D-F")
black.list <- mount.wl.bl.list(black.list)
black.list
white.list <- ("A-B,D-G")
white.list <- mount.wl.bl.list(white.list)
white.list
# Learn the BN structure with black and white list
bn.structure <- hc(dataQuantC, whitelist = white.list, blacklist = black.list)
# Show the BN structure
bnlearn::graphviz.plot(bn.structure)