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All functions

IntInjectionIntensity() Inv_IntInjectionIntensity()
Injection Rate function calculations
Int_ETAS_time_trig_function()
Integrated Omori's law
Inv_Int_ETAS_time_trig_function()
Inverse of integrated Omori's law
It_df()
Function to calculate the integral of Omori's law
Temporal.ETAS()
Function to fit Hawkes process model
Temporal.ETAS.fit()
Fit temporal ETAS model
Temporal.ETAS.forecast()
Title
breaks_exp()
Find breaks point for 1D grid
compute_grid()
Integral of Omori's law
cond_lambda()
ETAS conditional intensity - used by inlabru
create_input_list_temporal_noCatalogue()
Create input list for ETAS Hawkes temporal model without catalogue
create_input_list_temporal_withCatalogue()
Create input list for ETAS Hawkes temporal model with catalogue
exp_t()
Copula transformation from a standard Normal distribution to an Exponential distribution
gamma_t()
Copula transformation from a standard Normal distribution to a Gamma distribution
generate_temporal_ETAS_synthetic()
Generates a synthetic catalogue using the ETAS model
get_posterior_N()
Plot the posterior distribution of the expected number of events
get_posterior_param()
Retrieve posterior distribution of ETAS parameters
gt()
ETAS triggering function - used by inlabru
horus
HORUS Ita Catalogue
inv_exp_t()
Copula transformation from an Exponential to a standard Normal distribution
inv_gamma_t()
Copula transformation from an Gamma to a standard Normal distribution
inv_loggaus_t()
Copula transformation from an Log-Normal to a standard Normal distribution
inv_unif_t()
Copula transformation from an Uniform to a standard Normal distribution
lambda_N()
Calculate the integral of the ETAS conditional intensity
log_Lambda_h()
Logarithm of the integral of the ETAS triggering function
loggaus_t()
Copula transformation from a standard Normal distribution to a Log-Normal distribution
omori()
Function to calculate Omori's law
omori_plot_posterior()
Function to plot Omori's law corresponding to different posterior samples
omori_plot_prior()
Plot Omori's law for prior samples
post_pairs_plot()
Plot the posterior densities of the ETAS parameters
post_sampling()
Sample from the posterior of the ETAS parameters
sample_GR_magnitudes()
Return a sample of magnitudes drawn from the GR distribution
sample_temporal_ETAS_daughters()
Sample daughter events from one parent using the ETAS model
sample_temporal_ETAS_generation()
Take all previous parent events from Ht=data.frame[ts, magnitudes] and generates their daughters events using the ETAS model
sample_temporal_ETAS_times()
Sample times for events triggered by a parent according to the ETAS triggering function
sample_temporal_injection_events()
Title
time_grid()
Generate a set of time bins for a specific event.
triggering_fun_plot()
Triggering function plot from posterior samples
triggering_fun_plot_prior()
Triggering function plot from prior samples
unif_t()
Copula transformation from a standard Normal distribution to a Uniform distribution