Construct a learner — learner_surv

Constructs a learner class object for fitting Cox proportional hazards models.

Usage

learner_surv_cox(formula, info = "mets::phreg", learner.args = NULL, ...)

Arguments

formula: (formula) Formula specifying response and design matrix.
info: (character) Optional information to describe the instantiated learner object.
learner.args: (list) Additional arguments to learner$new().
...: Additional arguments passed to lower-level functions (e.g., optimization controls).

Value

learner object.

Author

Klaus Kähler Holst

Examples

data(sTRACE, package="mets")
mod <- learner_surv_cox(Surv(time, status>0) ~ sex + strata(age))
mod$estimate(sTRACE)
mod$predict(head(sTRACE), times=5) # P(T>t|X)
#> [1] 0.3678794 1.0000000 0.3678794 1.0000000 1.0000000 0.3678794