Predict the cumulative hazard/survival function for a survival model
cumhaz(
object,
newdata,
times = NULL,
individual.time = FALSE,
extend = FALSE,
...
)Survival model object: phreg, coxph, rfsrc, ranger
data.frame
numeric vector: Time points at which the survival model is evaluated. Must be a sorted vector with unique elements. If NULL, the time points associated with the survival model is used.
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.
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.
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))))