pp_residual: Compute raw and pearson residuals for point process models

In OwenWard/ppdiag: Diagnosis and Visualizations Tools for Temporal Point Processes

Compute raw and pearson residuals for point process models

Description

Compute raw and pearson residuals for point process models

Usage

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)

OwenWard/ppdiag documentation built on Feb. 19, 2023, 11:34 a.m.