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# log density function of G-Wishart(b,D,adj):
#
# p(K) = I(b,D)^{-1} |K|^{(d-2)/2} exp(-trace(K D)/2) using Monte Carlo sample of size N;
#
# Reference: Atay-Kayis and Massam 2005 Biometrika
#
# INPUT: b,D,adj,IsDec
# OUTPUT: log( p(K) ) = log[ I(b,D)^{-1} |K|^{(d-2)/2} exp(-trace(K D)/2) ]; using Monte Carlo sample of size N;
log_GWishart_pdf <- function(K,b,D,adj,N,IsDec)
{
log_pdf_unnormalized <- ( b - 2 ) / 2 * log( det( K ) ) - sum( diag( D %*% K ) ) / 2;
if( IsDec ){ # If graph is decomposable
log_pdf <- log_pdf_unnormalized + log_hiwishart_InvA_const( makedecompgraph(adj), b, D );
} else {
log_pdf <- log_pdf_unnormalized - log_GWishart_ud_const_mc( b, D, adj, N );
}
return( log_pdf )
}
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