Description Usage Arguments Value Examples
Compute raw and pearson residuals for point process models
1 | pp_residual(object, events, start = 0, end = max(events), steps = 1000)
|
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) |
the raw and pearson residuals
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)
pp_residual(x, events = y$events)
|
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