Summarise diagnostics for point process models

Generate diagnostic tools for different point process models, including quantile-quantile plot, ks plot, raw residual and pearson residual.

pp_diag(object, events)

# S3 method for default
pp_diag(object, events)

# S3 method for hp
pp_diag(object, events)

# S3 method for mmhp
pp_diag(object, events)

# S3 method for mmpp
pp_diag(object, events)

# S3 method for hpp
pp_diag(object, events)

Arguments

object	a point process model
events	event times

Value

Invisibly returns NULL. Outputs plots and summary of diagnostics to console

Examples

hpp_obj <- pp_hpp(lambda = 1)
events <- pp_simulate(hpp_obj, end = 50)
pp_diag(hpp_obj, events)
#> 
#> Raw residual: 0.2583418
#> Pearson residual: 0.2583418
#> 
#> 	One-sample Kolmogorov-Smirnov test
#> 
#> data:  r
#> D = 0.11131, p-value = 0.5289
#> alternative hypothesis: two-sided
#>