# A wrapper for survival probabilities with coxnet models

Source:`R/proportional_hazards-glmnet.R`

`survival_prob_coxnet.Rd`

A wrapper for survival probabilities with coxnet models

## Usage

```
survival_prob_coxnet(
object,
new_data,
eval_time,
time = deprecated(),
output = "surv",
penalty = NULL,
multi = FALSE,
...
)
```

## Arguments

- object
A parsnip

`model_fit`

object resulting from proportional_hazards() with engine = "glmnet".- new_data
Data for prediction.

- eval_time
A vector of integers for prediction times.

- time
Deprecated in favor of

`eval_time`

. A vector of integers for prediction times.- output
One of "surv" or "haz".

- penalty
Penalty value(s).

- multi
Allow multiple penalty values? Defaults to FALSE.

- ...
Options to pass to

`survival::survfit()`

.

## Examples

```
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)
#> # A tibble: 3 × 1
#> .pred
#> <list>
#> 1 <tibble [1 × 2]>
#> 2 <tibble [1 × 2]>
#> 3 <tibble [1 × 2]>
```