Loglikelihood of LICORS model
Description
Computes the average loglikelihood \frac{1}{N} \ell(\mathbf{W}; \mathcal{D}) as a function of the weight matrix \mathbf{W} and the predictive state distributions P(X = x \mid S = s_j) \approx P(X = x \mid \mathbf{W}_j) for all j = 1, …, K. See References.
Usage
1 2  compute_LICORS_loglik(weight.matrix, pdfs.FLC, lambda = 0, penalty = "entropy", q = 2,
base = exp(1))

Arguments
weight.matrix 
N \times K weight matrix 
pdfs.FLC 
an N \times K matrix containing the estimates of all K FLC densities evaluated at all N sample FLCs. 
lambda 
regularization parameter. Default:

penalty 
type of penalty: 
base 
logarithm base for the 
q 
exponent for L_q norm. 