Used in the mmpca_clust() function to initialize
beta. It can be either "random" or "lda". Please not that the
mmpca_clust() function also allow for a user given beta
matrix. In this case, this function is not used.
'lda':
Recommended. Uses the beta of LDA algorithm via a VEM algorithm, with an
initialization of 5 repeats of the gibbs sampling algorithm with 1000
burning iterations and 1000 iterations.
K
The number of topics (dimension of the latent space).
verbose
The verbosity level. Only prints a message at function
activation.
control_lda_init
The control for LDA().
Only used when init.beta == 'lda' and initilialized to the default
"LDA_VEMcontrol" of the '>TopicModelcontrol
class.