| compensator | Compensator of a Hawkes process |
| discrete | Discretizes a Hawkes simulation |
| dpowerlaw | The power law distribution |
| E1_imaginary | Exponential integral of imaginary argument |
| Etheta_imaginary | Incomplete gamma function of imaginary argument with arbitrary power |
| Exponential | Reproduction kernels for the Hawkes processes |
| Gaussian | Reproduction kernels for the Hawkes processes |
| hawkes | Simulation of a Hawkes process |
| hawkes_ogata | Simulation of a Hawkes process |
| inc_gamma_imag | Incomplete gamma function of imaginary argument |
| inhpois | Simulation of an inhomogeneous Poisson process by thinning |
| intensity | Intensity of a Hawkes process |
| mle | Fitting Hawkes processes from continuous data |
| Model | C++ abstract class for Hawkes processes |
| Pareto1 | Reproduction kernels for the Hawkes processes |
| Pareto2 | Reproduction kernels for the Hawkes processes |
| Pareto3 | Reproduction kernels for the Hawkes processes |
| plot.hawkes | Plot of a Hawkes process |
| plot.hawkes_ogata | Plot of a simulated Hawkes process |
| plot.inhpois | Plot of a simulated inhomogeneous Poisson process |
| PowerLaw | Reproduction kernels for the Hawkes processes |
| ppowerlaw | The power law distribution |
| qpowerlaw | The power law distribution |
| residuals | Residuals of a Hawkes process |
| rpowerlaw | The power law distribution |
| SymmetricExponential | Reproduction kernels for the Hawkes processes |
| whittle | Fitting Hawkes processes from discrete data |