logH: Logarithm of H
In Rene-Gutierrez/BayTenGraMod: Bayesian Tensor Graphical Model

Description Usage Arguments Value Author(s)

This function computes the function H that appears in the Metropolis Odds as propose in Wang and Li, in Efficient Gaussian graphical Model determination under G-Wishart prior distributions.

1	logH(n, S, C, bPrior = 100, DPrior = diag(ncol(C)), i = 1, j = 1)

`n`	Number of observations.
`S`	Sample Covariance multiplied by n.
`C`	Initial Precision Matrix for the MCMC.
`bPrior`	Prior dedrees of freedom. Defaults to 3.
`DPrior`	Prior location SPD Matrix. Defaults to the identity matrix.
`i`	Row index.
`j`	Column index.