A wrapper for survival times with coxnet models

Usage

survival_time_coxnet(object, new_data, penalty = NULL, multi = FALSE, ...)

Arguments

object: A parsnip model_fit object resulting from proportional_hazards() with engine = "glmnet".
new_data: Data for prediction.
penalty: Penalty value(s).
multi: Allow multiple penalty values?
...: Options to pass to survival::survfit().

Value

A vector.

Examples

cox_mod <- proportional_hazards(penalty = 0.1) |>
  set_engine("glmnet") |>
  fit(Surv(time, status) ~ ., data = lung)
#> Warning: Starting in glmnet 5.1, the default Cox tie-handling method will change from 'breslow' to 'efron' (matching survival::coxph). To silence this message and lock in the v5.0 default, pass cox.ties = 'breslow' explicitly. To preview the v5.1 behavior, pass cox.ties = 'efron'.
survival_time_coxnet(cox_mod, new_data = lung[1:3, ], penalty = 0.1)
#> [1]       NA 428.1231       NA