library(ETAS.inlabru)
library(ggplot2)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
# library(tidyquant)
Sampling ETAS Priors
It is important to check that the priors are broad enough that we
expect the the model parameterisation to lie within them. This notebook
shows how to draw samples from the priors and present them and the
resulting triggering functions.