R: Estimation of Hawkes Processes from Binned Observations

# Estimation of Hawkes Processes from Binned Observations

## Documentation for package ‘hawkesbow’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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