MoTBFs (version 1.2)

evalJointFunction: Evaluate a Joint Function

Description

Evaluates a "jointmotbf" object at a specific point.

Usage

evalJointFunction(P, values)

Arguments

P

A "jointmotbf" object.

values

A list with the name of the variables equal to the values to be evaluate.

Value

If all the variables in the equation are evaluated then the return is a "numeric" value, if not an "motbf" object or a "jointmotbf" object is returned.

Examples

# NOT RUN {
#' ## 1. EXAMPLE
## Dataset with 2 variables
X <- data.frame(rnorm(100), rexp(100))

## Joint function
dim <- c(3,3) # dim <- c(5,4)
param <- parametersJointMoTBF(X, dimensions = dim)
P <- jointMoTBF(param)
P

## Evaluation
nVariables(P)
val <- list(x = -1.5, y = 3)
evalJointFunction(P, values = val)
val <- list(x = -1.5)
evalJointFunction(P, values = val)
val <- list(y = 3)
evalJointFunction(P, values = val)

##############################################################################
## MORE EXAMPLES #############################################################
############################################################################## 
# }
# NOT RUN {
## Dataset with 3 variables
X <- data.frame(rnorm(100), rexp(100), rnorm(100, 1))

## Joint function
dim <- c(2,1,3)
param <- parametersJointMoTBF(X, dimensions = dim)
P <- jointMoTBF(param)
P

## Evaluation
nVariables(P)
val <- list(x = 0.8, y = -2.1, z = 1.2)
evalJointFunction(P, values = val)
val <- list(x = 0.8, z = 1.2)
evalJointFunction(P, values = val)
val <- list(y = -2.1)
evalJointFunction(P, values = val)
val <- list(y = -2.1)
evalJointFunction(P, values = val)
# }