View source: R/proportional_hazards-glmnet.R
survival_prob_coxnet | R Documentation |
A wrapper for survival probabilities with coxnet models
survival_prob_coxnet(
object,
new_data,
eval_time,
time = deprecated(),
output = "surv",
penalty = NULL,
multi = FALSE,
...
)
object |
A parsnip |
new_data |
Data for prediction. |
eval_time |
A vector of integers for prediction times. |
time |
Deprecated in favor of |
output |
One of "surv" or "haz". |
penalty |
Penalty value(s). |
multi |
Allow multiple penalty values? Defaults to FALSE. |
... |
Options to pass to |
A tibble with a list column of nested tibbles.
cox_mod <- proportional_hazards(penalty = 0.1) %>%
set_engine("glmnet") %>%
fit(Surv(time, status) ~ ., data = lung)
survival_prob_coxnet(cox_mod, new_data = lung[1:3, ], eval_time = 300)
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