Compute raw and pearson residuals for point process models

Source: R/pp_residual.R

Compute raw and pearson residuals for point process models

pp_residual(object, events, start = 0, end = max(events), steps = 1000)

Arguments

object

point process model containing the parameters
events

vector of event times
start

start of observation period (default 0)
end

end of observation period (default final event)
steps

number of steps for numeric integration (if needed)

Value

the raw and pearson residuals

Examples

Q <- matrix(c(-0.4, 0.4, 0.2, -0.2), ncol = 2, byrow = TRUE)
x <- pp_mmhp(Q,
  delta = c(1 / 3, 2 / 3), lambda0 = 0.9,
  lambda1 = 1.1, alpha = 0.8, beta = 1.2
)
y <- pp_simulate(x, n = 10)
pp_residual(x, events = y$events)

#> $raw
#> [1] 2.938867
#> 
#> $pearson
#> [1] 3.097838
#>