DD_data                 Delay Discounting Data
KL_div                  Computes the Kullback-Leibler divergence based
                        on kernel density estimates
ab_range_normalization
                        Normalization (or rescaling) between arbitrary
                        a and b
balci2019               Peak individual trial analysis using moving
                        average
berm                    Biexponential Refractory Model (BERM)
biexponential           Biexponential Model
bp_opt                  Find the best fit for individual trials using
                        'optim'
ceiling_multiple        Find the nearest multiple
curv_index_fry          Curvature index using Fry derivation
curv_index_int          Curvature index by numerical integration
dd_example              An example dataset of delays and normalized
                        subjective values
entropy_kde2d           Shannon entropy in two dimensions
eq_hyp                  Hyperbolic function
event_extractor         Event extractor
exhaustive_lhl          Individual trial analysis for peak procedure
                        data
exhaustive_sbp          Single breakpoint algorithm, the exhaustive
                        version as the one used in Guilhardi & Church
                        2004
exp_fit                 Exponential fit with nls
f_table                 Frequency table for binned data
fi60_raw_from_med       Raw Fixed Interval Data
fleshler_hoffman        Fleshler & Hoffman (1962) progression
fwhm                    Full Width at Half Maximum
gauss_example           Gaussian Example Data
gauss_example_1         Gaussian Example 1 Data
gauss_example_2         Gaussian Example 2 Data
gaussian_fit            Gaussian + ramp fit with LM algorithm
gell_like               Gellerman-like series
get_bins                A function to binarize a numeric vector with a
                        given resolution
hyp_data                Simulated Data for Hyperbolic Discounting
hyp_data_list           Hypothetical dataset list for testing purposes
hyperbolic_fit          Hyperbolic fit with nls
ind_trials_obj_fun      Objective function for finding the best fit for
                        individual trials
ind_trials_opt          Find the best fit for individual trials using
                        'optim'
mut_info_discrete       Mutual information of continuous variables
                        using discretization
mut_info_knn            Mutual Information for Continuous Variables
                        using kNN
n_between_intervals     Find maximum value within intervals
objective_bp            Objective function for the breakpoint
                        optimization algorithm
optimize_biexponential
                        Optimization Function for the Biexponential
                        Model
r_times                 Reaction Times from Peak Procedure
read_med                Process MED to csv based on standard data
                        structure event.time
sample_from_density     Sample from a density estimate
trapezoid_auc           Area under the curve (AUC)
unit_normalization      Min-max normalization (also feature rescaling)
val_in_interval         True value in interval
