Run MCMC for DPGMMM model, utilizing pilot chain
1 | dpgmm_init(data, design, lambda2, alpha, G, V, K, N, iter, init_iter)
|
data |
A column-major $G \cdot VN$ gene expressionvector/matrix |
design |
A column-major $V \cdot V$ experimental design vector/matrix |
lambda2 |
prior variance for base measure |
alpha |
DP concentration parameter |
G |
number of genes |
V |
number of varieties/groups |
K |
maximum number of clusters |
N |
samples per variety/group |
iter |
number of iterations for main chain |
init_iter |
number of iterations for pilot chain |
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