Description Usage Arguments Value Examples
View source: R/pearsonresidual.R
Compute Pearson residuals for point processes with specified parameters and events.
1 | pearsonresidual(object, events, start, end, steps = 1000)
|
object |
point process model |
events |
vector of event times |
start |
start of observation period (default 0) |
end |
termination time (default final event) |
steps |
number of steps for numeric integration (if needed) |
the Pearson residual
1 2 3 4 5 6 7 | 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)
ppdiag:::pearsonresidual.mmhp(x, events = y$events[-1])
|
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