Description Usage Arguments Details Value Functions Author(s) Examples
In case of different dimensions of the distribution this function perform the operation on the common distributions and add without modifications the other dimensions of the distribution.
1 2 3 4 5 6 7 8 9 | new_CONVOLUTION_assoc(dist1, dist2, op)
new_SUM_assoc(dist1, dist2)
new_SUBTRACTION_assoc(dist1, dist2)
new_MULTIPLICATION_assoc(dist1, dist2)
new_DIVISION_assoc(dist1, dist2)
|
dist1 |
an object of class |
dist2 |
and object of class |
op |
one of '+','-','*','/' |
If distribution A have dimensions a and b and distribution B have dimensions b and c, the A + B would produce a distribution with dimensions a, c, b+b,
an object of class DISTRIBUTION
new_SUM_assoc
: Sum of distributions
new_SUBTRACTION_assoc
: Subtraction of distributions
new_MULTIPLICATION_assoc
: Multiplication of distributions
new_DIVISION_assoc
: Division of distributions
John J. Aponte
1 2 3 4 5 6 7 | x1 <- new_MULTINORMAL(c(0,1), matrix(c(1,0.5,0.5,1),ncol=2), p_dimnames = c("A","B"))
x2 <- new_MULTINORMAL(c(10,1), matrix(c(1,0.4,0.4,1),ncol=2), p_dimnames = c("B","C"))
new_CONVOLUTION_assoc(x1,x2, `+`)
new_SUM_assoc(x1,x2)
new_SUBTRACTION_assoc(x1,x2)
new_MULTIPLICATION_assoc(x1,x2)
new_DIVISION_assoc(x1,x2)
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