In tidymodels/parsnip: A Common API to Modeling and Analysis Functions

r descr_models("survival_reg", "flexsurv")

Tuning Parameters

defaults <- 
  tibble::tibble(parsnip = c("dist"),
                 default = c("'weibull'"))

param <-
  survival_reg() %>%
  set_engine("flexsurv") %>%
  set_mode("censored regression") %>%
  make_parameter_list(defaults)

This model has r nrow(param) tuning parameters:

param$item

Translation from parsnip to the original package

r uses_extension("survival_reg", "flexsurv", "censored regression")

library(censored)

survival_reg(dist = character(1)) %>% 
  set_engine("flexsurv") %>% 
  set_mode("censored regression") %>% 
  translate()

Other details

The main interface for this model uses the formula method since the model specification typically involved the use of [survival::Surv()].

For this engine, stratification cannot be specified via [survival::strata()], please see [flexsurv::flexsurvreg()] for alternative specifications.

Case weights

Saving fitted model objects

References

• Jackson, C. 2016. flexsurv: A Platform for Parametric Survival Modeling in R. Journal of Statistical Software, 70(8), 1 - 33.

tidymodels/parsnip documentation built on Feb. 19, 2025, 2:10 a.m.