Prediction of survival prob for single obs with `decision_tree(engine = "rpart")`

tidymodels / censored

Parsnip wrappers for survival models

https://censored.tidymodels.org/

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Prediction of survival prob for single obs with `decision_tree(engine = "rpart")` #255

Closed hfrick closed 1 year ago

hfrick commented 1 year ago

library(censored)
#> Loading required package: parsnip
#> Loading required package: survival

decision_tree(engine = "rpart") %>%
  set_mode("censored regression") %>%
  fit(Surv(time, status) ~ ., data = lung) %>%
  predict(lung[2,], type = "survival", eval_time = c(100, 200))
#> Warning in seq_len(nrow(x)): first element used of 'length.out' argument
#> Error in seq_len(nrow(x)): argument must be coercible to non-negative integer

^{Created on 2023-04-11 with reprex v2.0.2}

github-actions[bot] commented 1 year ago

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