Computes \(\Phi_j(t)\) for one phase in the additive model \(H(t|x) = \sum_j \mu_j(x) \Phi_j(t)\).
Usage
hzr_phase_cumhaz(
time,
t_half = 1,
nu = 1,
m = 0,
type = c("cdf", "hazard", "constant")
)Details
"cdf": \(\Phi(t) = G(t)\). Bounded \([0, 1]\). Models early risk that resolves over time."hazard": \(\Phi(t) = -\log(1 - G(t))\). Monotone increasing. Models late or aging risk. This is the cumulative hazard derived from the hazard function \(h(t)\), since \(\int_0^t h(s)\,ds = -\log(1 - G(t))\)."constant": \(\Phi(t) = t\). Ignorest_half,nu,m. Equivalent to exponential (constant hazard rate).
See also
hzr_decompos() for the underlying parametric family,
hzr_phase_hazard() for the instantaneous hazard contribution.
Examples
t_grid <- seq(0.1, 10, by = 0.1)
phi_early <- hzr_phase_cumhaz(t_grid, t_half = 2, nu = 2, m = 0,
type = "cdf")
phi_late <- hzr_phase_cumhaz(t_grid, t_half = 5, nu = 1, m = 0,
type = "hazard")
phi_const <- hzr_phase_cumhaz(t_grid, type = "constant")