cSLI_mv_L | R Documentation |
C++ function to estimate Pitman-Yor multivariate mixtures via slice sampler - LOCATION
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 |
S20 |
variance of location component |
S0 |
parameter of scale component |
n0 |
parameter of scale component |
m1 |
mean of hyperdistribtion of m0 |
k1 |
scale factor of hyperdistribtion of m0 |
theta1 |
df of hyperdistribtion of S20 |
Theta1 |
matrix of hyperdistribution of S20 |
mass |
mass parameter |
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) |
sigma_PY |
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 |
indep |
if TRUE use independent slice efficient |
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