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