func_iterative_logreg_update function

Iterative updating of prior probabilities in logistic regression estimator

Internal, auxiliary functions

func_iterative_logreg_update(prob_lr, p0, cell_id, signal_levels, cc_maxit)

Arguments

• prob_lr: is a matrix of class probabilities for each observation
• p0: is a numeric vector of prior probabilities used for logistic regression estimation
• cell_id: a list of logical vectors indicating class labels of each observation
• signal_levels: is a vector of class labels
• cc_maxit: is the number of iteration of procedure to be carried out

Returns

A list with components

1. p_opt - a numeric vectors with estimated optimal input probabilities
2. MI_opt - a numerical value of estimated channel capacity