Statistical Learning Based Estimation of Mutual Information
Removing NAs observations from a data frame
Tuning GGplot Themes
Calculation of expression
Main algorithm to calculate channel capacity by SLEMI approach
Estimate channel capacity between discrete input and continuous output
Testing procedures for estimation of channel capacity
Plotting output of capacity estimation. Auxiliary functions.
Formula generator for logistic regression algorithm
Initial verification of input
Iterative updating of prior probabilities in logistic regression estim...
Initial verification and transformation of input variable
Main algorithm to calculate mutual information by SLEMI approach
Estimate mutual information between discrete input and continuous outp...
Testing procedures for estimation of mutual information
Plotting output of capacity estimation and additional exploratory grap...
Calculates Probability of pairwise discrimination
Sampling procedures used for testing capacity algorithm
SLEMI: Statistical Learning Based Estimation of Mutual Information
The implementation of the algorithm for estimation of mutual information and channel capacity from experimental data by classification procedures (logistic regression). Technically, it allows to estimate information-theoretic measures between finite-state input and multivariate, continuous output. Method described in Jetka et al. (2019) <doi:10.1371/journal.pcbi.1007132>.