MoTBFs (version 1.4.1)

printConditional: Summary of conditional MoTBF densities

Description

Print the description of an MoTBF demnsity for one variable conditional on another variable.

Usage

printConditional(conditionalFunction)

Arguments

conditionalFunction

the output of the function conditionalMethod. A list with the interval of the parent and the final "motbf" density function fitted in each interval.

Value

The results of the conditional function are shown.

See Also

conditionalMethod

Examples

# NOT RUN {
## Data
X <- rexp(500)
Y <- rnorm(500, mean=X)
data <- data.frame(X=X,Y=Y)
cov(data)

## Conditional Learning
parent <- "X"
child <- "Y"
intervals <- 5
potential <- "MOP"
P <- conditionalMethod(data, nameParents=parent, nameChild=child, 
numIntervals=intervals, POTENTIAL_TYPE=potential)
printConditional(P)

# }