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Function to plot the ETAS triggering function corresponding to different posterior samples

Source: R/plottingFunctions.R
triggering_fun_plot.Rd

Function to plot the ETAS triggering function corresponding to different posterior samples

Usage

triggering_fun_plot(
  input.list,
  post.samp = NULL,
  n.samp = 10,
  magnitude = 4,
  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).

magnitude

Magnitude of the event for which the triggering function is calculated, scalar (default = 4).

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

ggplot object with grey lines representing the triggering function for each posterior sample. Black lines representing the 0.025 and 0.975 quantiles of the function values calculated for each posterior sample. Horizontal red lines represents the 0.025 and 0.975 quantiles of the sampled background rates.