| ab_range_normalization | Normalization (or rescaling) between arbitrary a and b |
| balci2019 | Peak individual trial analysis using moving average |
| berm | Biexponential Refractory Model (BERM) |
| berm_log_likelihood | Biexponential Refractory Model (BERM) |
| biexponential | Biexponential Model |
| biexponential_log_likelihood | Optimization Function for the 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_data | Delay Discounting Data |
| 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 |
| fi60_raw_from_med | Raw Fixed Interval Data |
| fleshler_hoffman | Fleshler & Hoffman (1962) progression |
| fwhm | Full Width at Half Maximum |
| f_table | Frequency table for binned data |
| gaussian_fit | Gaussian + ramp fit with LM algorithm |
| gauss_example | Gaussian Example Data |
| gauss_example_1 | Gaussian Example 1 Data |
| gauss_example_2 | Gaussian Example 2 Data |
| gell_like | Gellerman-like series |
| get_bins | A function to binarize a numeric vector with a given resolution |
| hyperbolic_fit | Hyperbolic fit with nls |
| hyp_data | Simulated Data for Hyperbolic Discounting |
| hyp_data_list | Hypothetical dataset list for testing purposes |
| 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' |
| KL_div | Computes the Kullback-Leibler divergence based on kernel density estimates |
| map_onto | Biexponential Refractory Model (BERM) |
| 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_berm | Biexponential Refractory Model (BERM) |
| optimize_biexponential | Optimization Function for the Biexponential Model |
| param_conver | Biexponential Refractory Model (BERM) |
| read_med | Process MED to csv based on standard data structure event.time |
| r_times | Reaction Times from Peak Procedure |
| 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 |