Internal Posterior Calculation
fct_gamma(
x,
y,
k,
N,
clust_assign,
pi_vec,
lambda,
alpha,
beta,
y_sparse,
rank,
max_rank
)A list with the posterior, coefficients, and estimated covariance.
A matrix of predictors.
A matrix of responses.
The number of groups.
The sample size.
The current clustering assignment.
A vector of mixing probabilities for each cluster label.
A vector of penalization parameters.
A positive constant DPP parameter.
A positive constant DPP parameter.
Should Y coefficients be treated as sparse?
The rank, if known.
The maximum allowed rank.