Function to plot Omori's law corresponding to different posterior samples

Function to plot Omori's law corresponding to different posterior samples

Usage

omori_plot_posterior(
  input.list,
  post.samp = NULL,
  n.samp = 10,
  t.end = 1,
  n.breaks = 100
)

Arguments

input.list

structured input list with at least two elements:

• model.fit: bru object used to sample the posterior of the ETAS parameters

• link.functions: list of functions to convert the ETAS parameters from the INLA scale to the ETAS scale

post.samp

data.frame containing posterior samples of the parameters. If NULL, then n.samp samples are generated. If n.samp is different from nrow(post.samp) then n.samp rows are uniformly sampled from post.samp. Default is NULL.

n.samp

Number of posterior samples, integer (default = 10).

t.end

Upper bound of the x-axis, scalar (default = 1).

n.breaks

Number of points between 0 and t.end to calculate the function, integer (default = 100).

Value

A ggplot object

See also

create_input_list_temporal_noCatalogue(), create_input_list_temporal_withCatalogue()