cICS_L {BNPmix} | R Documentation |
C++ function to estimate Pitman-Yor univariate mixtures via importance conditional sampler - LOCATION
Description
C++ function to estimate Pitman-Yor univariate mixtures via importance conditional sampler - LOCATION
Arguments
data |
a vector of observations |
grid |
vector to evaluate the density |
niter |
number of iterations |
nburn |
number of burn-in iterations |
m0 |
expectation of location component |
s20 |
variance of location component |
a0 |
parameter of scale component |
b0 |
parameter of scale component |
m1 |
hyperparameter, mean of distribution of m0 |
k1 |
hyperparameter, scale factor of distribution of m0 |
a1 |
hyperparameter, shape of distribution of s20 |
b1 |
hyperparameter, scale of distribution of s20 |
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 |
discount parameter |
print_message |
print the status |
hyper |
if TRUE use hyperpriors, default TRUE |