evalJointFunction {MoTBFs} | R Documentation |
Evaluation of joint MoTBFs
Description
Evaluates a "jointmotbf"
object at a specific point.
Usage
evalJointFunction(P, values)
Arguments
P |
A |
values |
A list with the name of the variables equal to the values to be evaluated. |
Value
If all the variables in the equation are evaluated then a "numeric"
value
is returned. Otherwise, an "motbf"
object or a "jointmotbf"
object is returned.
Examples
#' ## 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 #############################################################
##############################################################################
## 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)
[Package MoTBFs version 1.4.1 Index]