ray_hessian: Computes hessian for Rayleigh kernel
In mrc-ide/epihawkes: Hawkes Processes model for outbreak analysis

Description Usage Arguments Value Examples

Computes hessian for Rayleigh kernel

ray_hessian(
  parameters,
  delay = 0,
  events,
  kernel,
  mu_fn = mu_none,
  mu_diff_fn = mu_diff_none,
  mu_int_fn = mu_int_none,
  print_level = 0
)

`parameters`	Parameters of the Hawkes kernel.
`delay`	Fixed delay for kernel
`events`	Vector of event times.
`kernel`	Kernel function for Hawkes Process.
`mu_fn`	Function that returns exogenous part of Hawkes Process.
`mu_diff_fn`	Function that returns differential of exogenous part.
`mu_int_fn`	Function that returns integral of exogenous part.
`print_level`	Level at which logger will print

Returns directional derivatives for Rayleigh kernel.

ray_hessian(parameters = list("alpha" = 1, "delta" = 1), delay = 1,
    events = c(0, 4, 6, 9), kernel = exp_kernel, mu = mu_sinusoidal_linear,
    mu_diff_fn = mu_diff_sinusoidal_linear,
    mu_int_fn = mu_int_sinusoidal_linear)