cSLI_mv | R Documentation |
C++ function to estimate Pitman-Yor multivariate mixtures via slice sampler - LOCATION SCALE
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 |
tuning parameter of variance of location component |
S0 |
parameter of scale component |
n0 |
parameter of scale component |
m1 |
mean of hyperprior distribution of m0 |
S1 |
covariance of hyperprior distribution of m0 |
tau1 |
shape parameter of hyperprior distribution of k0 |
tau2 |
rate parameter of hyperprior distribution of k0 |
theta1 |
df of hyperprior distribution of S0 |
Theta1 |
matrix of hyperprior distribution of S0 |
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 the independent slice efficient |
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