Nothing
estimate_meta_I <- function(estimated_table) {
# Normalize
estimated_classifier <- estimated_table/sum(estimated_table)
p <- rowSums(estimated_classifier) # Prior
a <- get_accuracy(estimated_classifier) # Accuracy
info <- get_information(estimated_classifier) # Transmitted information
information_bounds <- get_analytic_information_bounds(p, a)
lower_bound <- information_bounds$lowest # Lower bound on trans. information
meta_I <- info - lower_bound
meta_I
}
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