cICS_mv_P | R Documentation |
C++ function to estimate Pitman-Yor multivariate mixtures via importance conditional sampler - PRODUCT KERNEL
data |
a matrix of observations |
grid |
matrix of points to evaluate the density |
niter |
number of iterations |
nburn |
number of burn-in iterations |
m0 |
expectation of location component |
k0 |
vector, scale parameters for the location component |
a0 |
vector, parameters of scale component |
b0 |
vector, parameters of scale component |
m1 |
means of hyperdistribution of m0 |
s21 |
variances of hyperdistribution of m0 |
tau1 |
shape parameters of hyperdistribution of k0 |
tau2 |
rate parameters of hyperdistribution of k0 |
a1 |
shape parameters of hyperdistribution of b0 |
b1 |
rate parameters of hyperdistribution of b0 |
strength |
strength parameter |
napprox |
number of approximating values |
nupd |
number of iterations to show current updating |
out_param |
if TRUE, return also the location and scale paramteres lists |
out_dens |
if TRUE, return also the estimated density (default TRUE) |
discount |
second parameter of PY |
print_message |
print the status |
light_dens |
if TRUE return only the posterior mean of the density |
hyper, |
if TRUE use hyperpriors, default TRUE |
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