callmultmoments: Compute multivariate moment symbolically

In symmoments: Symbolic Central and Noncentral Moments of the Multivariate Normal Distribution

Description

Computes a multivariate normal moment by initializing variables, calling multmoments, and constructing output

Usage

callmultmoments(moment)

Arguments

moment

vector c(k1,... ,kn) specifying the moment X1**k1 *...* Xn**kn

Details

Each row of the representation gives the exponents for a single product of covariance terms. For example, (1,2,0) represents S11**1 S12** S22**0, where the Sij are the covariances. The full moment is the sum of these terms multiplied by their respective coefficients. If the sum of the exponents is odd, the moment is 0.

Value

A object of class 'moment', which is a list with three components:

moment	the input moment vector
representation	a matrix containing the representation in terms of upper-triangular matrices
coefficients	the coefficients corresponding to the rows of the representation

If the sum of the exponents is odd, returns -1 and prints "Sum of powers is odd. Moment is 0."

If any exponent is negative, returns -2 and prints "All components of the moment must be non-negative."

If any exponent is not an integer, returns -3 and prints "All components of the moment must be integers."

Author(s)

Kem Phillips <[e-mail]>

References

K Phillips, Symbolic Computation of the Central Moments of the Multivariate Normal Distribution, Journal of Statistical Software, 2010.

See Also

multmoments and the methods toLatex, evaluate, and simulate in symmoments

Examples

# Compute the moment for the 4-dimensional moment c(1,2,3,4):

m.1234 <- callmultmoments(c(1,2,3,4))

symmoments documentation built on March 26, 2020, 6:28 p.m.