Table 1. List of the most common parameters and functions where they are used.
For a full list of each function’s possible arguments, please refer to the online documentation [43].
| Symbol | Parameter description | Function | Example argument |
|---|---|---|---|
| k | Discrete time steps of correlation coefficients (shift between original and delayed time series) | full_analysis() | kmax = 1000 |
| coefficients() | steps=(1, 1000) | ||
| fit() | steps=(1, 1000) | ||
| Unit of discrete time steps | full_analysis() | dtunit=‘ms’ | |
| coefficients() | dtunit=‘ms’ | ||
| fit() | dtunit=‘ms’ | ||
| Δt | Size of the discrete time steps in dtunits | full_analysis() | dt = 4 |
| coefficients() | dt = 4 | ||
| fit() | dt = 4 | ||
| rk | Correlation coefficients | fit() | data |
| Method for calculating rk | full_analysis() | coefficientmethod=‘sm’ | |
| coefficients() | method=‘ts’ | ||
| Selecting Fitfunctions: | full_analysis() | fitfuncs=[‘exp’, ‘offset’, ‘complex’] | |
| fit() | fitfunc=‘exp’ | ||
| α | Subsampling fraction | simulate_subsampling() | prob |
| simulate_branching() | subp | ||
| 〈At〉 | Activity (e.g. of a branching process) | simulate_branching() | a = 1000 |
| m | Branching parameter | simulate_branching() | m = 0.98 |
| h | External input | simulate_branching() | h = 100 |
| Bootstrapping: number of samples, rng seed | full_analysis() | numboot = 100, seed = 101 | |
| coefficients() | numboot = 100, seed = 102 | ||
| fit() | numboot = 100, seed = 103 |