Fits a finite heirarchical mixture model for comparison to the Nested Dirichlet Process the prior concentration parameters for both mixture components w and pi are fixed to be one.
1 2 3 |
r |
vector of distances associated with differing groups |
n_j |
matrix of integers denoting the start and length of each school's associated BEF distances |
mu_0 |
mean hyperparameter for mu normal base measure. Default is 0; Normal(0,1). |
kappa_0 |
variance hyperparameter for mu normal base measure. Default is 1; Normal(0,1). |
nu_0 |
df hyperparameter for sigma inv chisq base measure. Default is 1; InvChisq(1,1); |
sigma_0 |
scale hyperparameter for sigma inv chisq base measure. Default is 1; InvChisq(1,1); |
L |
component truncation number |
K |
intensity cluster truncation number |
iter_max |
total number of iterations for which to run sampler |
warm_up |
number of iterations for which to burn-in or "warm-up" sampler |
thin |
number of iterations to thin by |
seed |
integer with which to initialize random number generator |
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