fct_j_lik {mixedLSR} | R Documentation |
Internal Likelihood Function
Description
Internal Likelihood Function
Usage
fct_j_lik(
x,
y,
k,
clust_assign,
lambda,
alpha = 2 * sqrt(3),
beta = 1,
y_sparse = TRUE,
max_rank = 3,
rank = NULL
)
Arguments
x |
A matrix of predictors. |
y |
A matrix of responses. |
k |
The number of groups. |
clust_assign |
A vector of cluster labels. |
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? |
max_rank |
The maximum allowed rank. |
rank |
The rank, if known. |
Value
The weighted log-likelihood
[Package mixedLSR version 0.1.0 Index]