MoTBFs (version 1.2)

printConditional: Prints Conditional Functions

Description

Prints the result of an MoTBF conditional function of two variables, i.e. a parent and his child.

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

Run this code
# 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)

# }

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