C++ function to estimate Pitman-Yor multivariate mixtures via marginal sampler - LOCATION SCALE
a matrix of observations
matrix of points to evaluate the density
number of iterations
number of burn-in iterations
expectation of location component
tuning parameter of variance of location component
parameter of scale component
parameter of scale component
mean of hyperprior distribution of m0
covariance of hyperprior distribution of m0
shape parameter of hyperprior distribution of k0
rate parameter of hyperprior distribution of k0
df of hyperprior distribution of S0
matrix of hyperprior distribution of S0
mass parameter
number of iterations to show current updating
if TRUE, return also the location and scale paramteres lists
if TRUE, return also the estimated density (default TRUE)
second parameter of PY
print the status
if TRUE return only the posterior mean of the density
if TRUE use hyperpriors, default TRUE