R: d-divergence

Ddivergence {MCMCglmm} | R Documentation

## d-divergence

### Description

Calculates Ovaskainen's (2008) d-divergence between 2 zero-mean multivariate normal distributions.

### Usage

    Ddivergence(CA=NULL, CB=NULL, n=10000)

### Arguments

`CA` | Matrix A
`CB` | Matrix B
`n` | number of Monte Carlo samples for approximating the integral

### Value

`` | d-divergence

### Note

In versions of MCMCglmm <2.26 Ovaskainen's (2008) d-divergence was incorrectly calculated.

### Author(s)

Jarrod Hadfield j.hadfield@ed.ac.uk

### References

Ovaskainen, O. et. al. (2008) Proc. Roy. Soc - B (275) 1635 593-750

### Examples

    CA<-rIW(diag(2),10, n=1)
    CB<-rIW(diag(2),10, n=1)
    Ddivergence(CA, CB)

[Package MCMCglmm version 2.32 Index]