cumhaz: Predict the cumulative hazard/survival function for a...

In targeted: Targeted Inference

Predict the cumulative hazard/survival function for a survival model

Description

Predict the cumulative hazard/survival function for a survival model

Usage

cumhaz(
  object,
  newdata,
  times = NULL,
  individual.time = FALSE,
  extend = FALSE,
  ...
)

Arguments

object	Survival model object: phreg, coxph, rfsrc, ranger
newdata	data.frame
times	numeric vector: Time points at which the survival model is evaluated. If NULL, the time points associated with the survival model is used.
individual.time	logical: If TRUE the survival object is evaluated at different time points for each row in newdata. The number of rows in newdata and the length of times must be the same.
extend	if TRUE, prints information for all specified 'times’, even if there are no subjects left at the end of the specified ‘times’ (see survival::summary.survfit).
...	Additional arguments.

Value

List with elements:

• time: numeric vector

• chf: cumulative hazard function. If individual.time = FALSE, matrix with dimension (nrow(newdata), length(times)). If individual.time = TRUE, vector of length length(times).

• surv: survival function, exp(-chf).

• dchf: t(diff(rbind(0, t(chf))))

Author(s)

Klaus K. Holst, Andreas Nordland

targeted documentation built on Jan. 12, 2026, 9:08 a.m.