C++ function to estimate Pitman-Yor multivariate mixtures via importance conditional sampler
a matrix of observations
matrix of points to evaluate the density
number of iterations
number of burn-in iterations
expectation of location component
variance of location component
parameter of scale component
parameter of scale component
mean of hyperdistribtion of m0
scale factor of hyperdistribtion of m0
df of hyperdistribtion of S20
matrix of hyperdistribution of S20
strength parameter
number of approximating values
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